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Sarangapani Jagannathan
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- affiliation: Missouri University of Science and Technology, Rolla, MO, USA
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2020 – today
- 2024
- [j142]Charles C. Rawlins, Sarangapani Jagannathan, Venkata Sriram Siddhardh Nadendla:
A Reputation System for Provably-Robust Decision Making in IoT Blockchain Networks. IEEE Internet Things J. 11(8): 14088-14099 (2024) - [j141]Charles C. Rawlins, Jagannathan Sarangapani:
Predicting IoT Distributed Ledger Fraud Transactions With a Lightweight GAN Network. IEEE Trans. Mob. Comput. 23(7): 7818-7829 (2024) - [j140]Krishnan Raghavan, Vignesh Narayanan, Sarangapani Jagannathan:
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9267-9276 (2024) - [c195]Maxwell Geiger, Vignesh Narayanan, Sarangapani Jagannathan:
Optimal Tracking of Uncertain Linear Discrete-Time Systems Using Trajectory-Dependent Lifelong Q-learning. ACC 2024: 3631-3636 - [c194]Behzad Farzanegan, Sarangapani Jagannathan:
Reinforcement Learning-Based Constrained Optimal Control of Strict-feedback Nonlinear Systems: Application to Autonomous Underwater Vehicles. CCTA 2024: 651-656 - [e1]Jagannathan Sarangapani, Geetha Ganesan, Rajiv Misra, Valentina Emilia Balas, Manik Sharma:
Joint Proceedings of the Workshop on Intelligent Systems (WINS 2023) and the Workshop on Computer Vision and Machine Learning for Healthcare (CVMLH 2023) Co-located with CODD 100 - 7th International Conference on Computing Sciences (ICCS 2023), Hybrid Event, Chennai, India, May 20 - 21, 2023. CEUR Workshop Proceedings 3635, CEUR-WS.org 2024 [contents] - 2023
- [j139]Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan:
Filter-Based Fault Detection and Isolation in Distributed Parameter Systems Modeled by Parabolic Partial Differential Equations. IEEE Access 11: 45011-45027 (2023) - [j138]Krishanu Nath, Manas Kumar Bera, Sarangapani Jagannathan:
Concurrent Learning-Based Neuroadaptive Robust Tracking Control of Wheeled Mobile Robot: An Event-Triggered Design. IEEE Trans. Artif. Intell. 4(6): 1514-1525 (2023) - [j137]Rohollah Moghadam, Sarangapani Jagannathan:
Optimal Adaptive Control of Uncertain Nonlinear Continuous-Time Systems With Input and State Delays. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3195-3204 (2023) - [j136]Surbhi Gupta, Gaurav Singal, Deepak Garg, Sarangapani Jagannathan:
QC_SANE: Robust Control in DRL Using Quantile Critic With Spiking Actor and Normalized Ensemble. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6656-6662 (2023) - [j135]Rohollah Moghadam, Vignesh Narayanan, Sarangapani Jagannathan:
Event-Triggered Optimal Adaptive Control of Partially Unknown Linear Continuous-Time Systems With State Delay. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3324-3337 (2023) - [j134]Behzad Farzanegan, Sarangapani Jagannathan:
Continual Reinforcement Learning Formulation for Zero-Sum Game-Based Constrained Optimal Tracking. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7744-7757 (2023) - [c193]Charles S. Rawlins, Sarangapani Jagannathan:
Towards Robust Consensus for Intelligent Decision-making in IoT Blockchain Networks. AIBThings 2023: 1-5 - [c192]Charles C. Rawlins, Sarangapani Jagannathan:
Improved Intelligent Ledger Construction for Realistic IoT Blockchain Networks. AIBThings 2023: 1-5 - [c191]Behzad Farzanegan, Sarangapani Jagannathan:
Optimal Tracking of Nonlinear Discrete-time Systems using Zero-Sum Game Formulation and Hybrid Learning. ACC 2023: 2715-2720 - [c190]Irfan Ganie, Sarangapani Jagannathan:
Continual Optimal Adaptive Tracking of Uncertain Nonlinear Continuous-time Systems using Multilayer Neural Networks. ACC 2023: 3395-3400 - [c189]Charles C. Rawlins, Sarangapani Jagannathan, Donald Wunsch:
Prediction of Blockchain Transaction Fraud Using a Lightweight Generative Adversarial Network. BCCA 2023: 116-121 - [c188]Charles C. Rawlins, Sarangapani Jagannathan, Venkata Sriram Siddhardh Nadendla:
A Reputation System for Distributed Intelligent Blockchain Decision-Making. BCCA 2023: 229-234 - 2022
- [j133]Charles C. Rawlins, Sarangapani Jagannathan:
An Intelligent Distributed Ledger Construction Algorithm for IoT. IEEE Access 10: 10838-10851 (2022) - [j132]Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
Inference-aware convolutional neural network pruning. Future Gener. Comput. Syst. 135: 44-56 (2022) - [j131]Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
Heuristic-based automatic pruning of deep neural networks. Neural Comput. Appl. 34(6): 4889-4903 (2022) - [j130]Ravi Prakash, Laxmidhar Behera, Santhakumar Mohan, Sarangapani Jagannathan:
Dual-Loop Optimal Control of a Robot Manipulator and Its Application in Warehouse Automation. IEEE Trans Autom. Sci. Eng. 19(1): 262-279 (2022) - [j129]Krishnan Raghavan, Sarangapani Jagannathan, V. A. Samaranayake:
A Game Theoretic Approach for Addressing Domain-Shift in Big-Data. IEEE Trans. Big Data 8(6): 1610-1621 (2022) - [j128]Vignesh Narayanan, Hamidreza Modares, Sarangapani Jagannathan, Frank L. Lewis:
Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems. IEEE Trans. Cybern. 52(3): 1936-1946 (2022) - [j127]Jinna Li, Jinliang Ding, Tianyou Chai, Frank L. Lewis, Sarangapani Jagannathan:
Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty. IEEE Trans. Neural Networks Learn. Syst. 33(1): 270-280 (2022) - [j126]Rohollah Moghadam, Pappa Natarajan, Sarangapani Jagannathan:
Online Optimal Adaptive Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Multilayer Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4840-4850 (2022) - [c187]Rohollah Moghadam, Behzad Farzanegan, Sarangapani Jagannathan, P. Natarajan:
Optimal Adaptive Output Regulation of Uncertain Nonlinear Discrete-time Systems using Lifelong Concurrent Learning. CDC 2022: 2005-2010 - 2021
- [j125]Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices. Comput. Biol. Medicine 134: 104432 (2021) - [j124]Haifeng Niu, Sarangapani Jagannathan:
Flow-based attack detection and accommodation for networked control systems. Int. J. Control 94(3): 834-847 (2021) - [j123]Dzung Tran, Tansel Yucelen, Sarangapani Jagannathan, David W. Casbeer:
Distributed coestimation in heterogeneous sensor networks. Int. J. Control 94(8): 2032-2046 (2021) - [j122]Raghavan Krishnan, Shweta Garg, Sarangapani Jagannathan, V. A. Samaranayake:
Distributed Min-Max Learning Scheme for Neural Networks With Applications to High-Dimensional Classification. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4323-4333 (2021) - [i2]Raghavan Krishnan, Vignesh Narayanan, Jagannathan Sarangapani:
Cooperative Deep Q-learning Framework for Environments Providing Image Feedback. CoRR abs/2110.15305 (2021) - 2020
- [j121]Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
A comprehensive survey on model compression and acceleration. Artif. Intell. Rev. 53(7): 5113-5155 (2020) - [j120]John Daniel Peterson, Tansel Yucelen, Jagannathan Sarangapani, Eduardo L. Pasiliao:
Active-Passive Dynamic Consensus Filters With Reduced Information Exchange and Time-Varying Agent Roles. IEEE Trans. Control. Syst. Technol. 28(3): 844-856 (2020) - [j119]Ravi Prakash, Laxmidhar Behera, Santhakumar Mohan, Sarangapani Jagannathan:
Dynamic Trajectory Generation and a Robust Controller to Intercept a Moving Ball in a Game Setting. IEEE Trans. Control. Syst. Technol. 28(4): 1418-1432 (2020) - [j118]Haifeng Niu, Chandreyee Bhowmick, Sarangapani Jagannathan:
Attack Detection and Approximation in Nonlinear Networked Control Systems Using Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31(1): 235-245 (2020) - [j117]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Direct Error-Driven Learning for Deep Neural Networks With Applications to Big Data. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1763-1770 (2020) - [c186]Rohollah Moghadam, Sarangapani Jagannathan:
Optimal Control of Linear Continuous-time Systems in the Presence of State and Input Delays with Application to a Chemical Reactor. ACC 2020: 999-1004 - [c185]Akhilesh Raj, Sarangapani Jagannathan, Tansel Yucelen:
Distributed Adaptive State Estimation and Tracking Scheme for Nonlinear Systems using Active Passive Sensor Networks. ACC 2020: 2587-2592 - [c184]Chandreyee Bhowmick, Sarangapani Jagannathan:
Availability-Resilient Control of Uncertain Linear Stochastic Networked Control Systems. ACC 2020: 4016-4021 - [c183]Rohollah Moghadam, Sarangapani Jagannathan:
Optimal Adaptive Regulation of Uncertain Linear Continuous-time Systems with State and Input Delays. CDC 2020: 132-137 - [c182]Rohollah Moghadam, Pappa Natarajan, Sarangapani Jagannathan:
Multilayer Neural Network-based Optimal Adaptive Tracking Control of Partially Uncertain Nonlinear Discrete-time Systems. CDC 2020: 2204-2209 - [c181]Rohollah Moghadam, Pappa Natarajan, Raghavan Krishnan, Sarangapani Jagannathan:
Online Optimal Adaptive Control of a Class of Uncertain Nonlinear Discrete-time Systems. IJCNN 2020: 1-6 - [p1]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Direct Error Driven Learning for Classification in Applications Generating Big-Data. Development and Analysis of Deep Learning Architectures 2020: 1-29
2010 – 2019
- 2019
- [j116]Raghavan Krishnan, V. A. Samaranayake, Sarangapani Jagannathan:
A Hierarchical Dimension Reduction Approach for Big Data with Application to Fault Diagnostics. Big Data Res. 18 (2019) - [j115]Haifeng Niu, Avimanyu Sahoo, Chandreyee Bhowmick, Sarangapani Jagannathan:
An optimal hybrid learning approach for attack detection in linear networked control systems. IEEE CAA J. Autom. Sinica 6(6): 1404-1416 (2019) - [j114]Haci Mehmet Guzey, Travis Dierks, Sarangapani Jagannathan, Levent Acar:
Modified Consensus-based Output Feedback Control of Quadrotor UAV Formations Using Neural Networks. J. Intell. Robotic Syst. 94(1): 283-300 (2019) - [j113]Bo Fan, Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
Output-Constrained Control of Nonaffine Multiagent Systems With Partially Unknown Control Directions. IEEE Trans. Autom. Control. 64(9): 3936-3942 (2019) - [j112]Wenchao Meng, Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
Distributed Control of High-Order Nonlinear Input Constrained Multiagent Systems Using a Backstepping-Free Method. IEEE Trans. Cybern. 49(11): 3923-3933 (2019) - [j111]Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan:
A Min-Max Approach to Event- and Self-Triggered Sampling and Regulation of Linear Systems. IEEE Trans. Ind. Electron. 66(7): 5433-5440 (2019) - [j110]Raghavan Krishnan, V. A. Samaranayake, Sarangapani Jagannathan:
A Multi-Step Nonlinear Dimension-Reduction Approach with Applications to Big Data. IEEE Trans. Knowl. Data Eng. 31(12): 2249-2261 (2019) - [j109]Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan, Koshy George:
Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Event-Triggered Nonzero-Sum Games. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1512-1522 (2019) - [j108]Vignesh Narayanan, Sarangapani Jagannathan, Kannan Ramkumar:
Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1651-1658 (2019) - [c180]John Daniel Peterson, Tansel Yucelen, Sarangapani Jagannathan:
Active-Passive Dynamic Consensus Filters for Linear Time-Invariant Multiagent Systems. ACC 2019: 4683-4688 - [c179]Akhilesh Raj, Sarangapani Jagannathan, Tansel Yucelen:
Distributed State Estimation by Using Active-Passive Sensor Networks. ACC 2019: 4689-4694 - [c178]Akhilesh Raj, Sarangapani Jagannathan, Tansel Yucelen:
Event-triggered Adaptive Distributed State Estimation by Using Active-Passive Sensor Networks. ACC 2019: 4695-4700 - [c177]Haifeng Niu, Avimanyu Sahoo, Chandreyee Bhowmick, Sarangapani Jagannathan:
Attack Detection in Linear Networked Control Systems by Using Learning Methodology. CCTA 2019: 148-153 - [c176]Chandreyee Bhowmick, Sarangapani Jagannathan:
Detection of Sensor Attacks in Uncertain Stochastic Linear Systems. CCTA 2019: 706-711 - [c175]Chandreyee Bhowmick, Sarangapani Jagannathan:
Detection and Mitigation of Attacks in Nonlinear Stochastic System Using Modified χ2 Detector. CDC 2019: 139-144 - [c174]Rohollah Moghadam, Sarangapani Jagannathan:
Approximate Optimal Adaptive Control of Partially Unknown Linear Continuous-time Systems with State Delay. CDC 2019: 1985-1990 - [c173]Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan:
Fault Detection and Estimation for a Class of Nonlinear Distributed Parameter Systems. ICPHM 2019: 1-8 - 2018
- [j107]Eyad Taqieddin, Hiba Al-Dahoud, Haifeng Niu, Jagannathan Sarangapani:
Tag Ownership Transfer in Radio Frequency Identification Systems: A Survey of Existing Protocols and Open Challenges. IEEE Access 6: 32117-32155 (2018) - [j106]Balaje T. Thumati, Sarangapani Jagannathan:
Authors' Reply to "Comments on "A Novel Fault Diagnosis and Prediction Scheme Using a Nonlinear Observer With Artificial Immune System as an Online Approximator"". IEEE Trans. Control. Syst. Technol. 26(1): 377-378 (2018) - [j105]Bo Fan, Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
Asymptotic Tracking Controller Design for Nonlinear Systems With Guaranteed Performance. IEEE Trans. Cybern. 48(7): 2001-2011 (2018) - [j104]Vignesh Narayanan, Sarangapani Jagannathan:
Event-Triggered Distributed Control of Nonlinear Interconnected Systems Using Online Reinforcement Learning With Exploration. IEEE Trans. Cybern. 48(9): 2510-2519 (2018) - [j103]Behzad Talaei, Sarangapani Jagannathan, John R. Singler:
Boundary Control of Linear Uncertain 1-D Parabolic PDE Using Approximate Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1213-1225 (2018) - [j102]Behzad Talaei, Sarangapani Jagannathan, John R. Singler:
Output Feedback-Based Boundary Control of Uncertain Coupled Semilinear Parabolic PDE Using Neurodynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1263-1274 (2018) - [j101]Nathan Szanto, Vignesh Narayanan, Sarangapani Jagannathan:
Event-Sampled Direct Adaptive NN Output- and State-Feedback Control of Uncertain Strict-Feedback System. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1850-1863 (2018) - [j100]Vignesh Narayanan, Sarangapani Jagannathan:
Event-Triggered Distributed Approximate Optimal State and Output Control of Affine Nonlinear Interconnected Systems. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2846-2856 (2018) - [j99]Behzad Talaei, Sarangapani Jagannathan, John R. Singler:
Boundary Control of 2-D Burgers' PDE: An Adaptive Dynamic Programming Approach. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3669-3681 (2018) - [c172]Dzung Tran, Tansel Yucelen, Sarangapani Jagannathan, David W. Casbeer:
Distributed Coestimation in Heterogeneous Sensor Networks with Time-Varying Active and Passive Node Roles. ACC 2018: 1033-1038 - [c171]Ali Albattat, Tansel Yucelen, Sarangapani Jagannathan:
An Observer-Free Output Feedback Cooperative Control Architecture for Linear Multiagent Systems with Event-Triggering. ACC 2018: 1647-1652 - [c170]Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan:
Optimal Event-triggered Control of Nonlinear Systems: A Min-max Approach. ACC 2018: 3441-3446 - [c169]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
A Minimax Approach for Classification with Big-data. IEEE BigData 2018: 1437-1444 - [c168]Shweta Garg, Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Distributed Learning of Deep Sparse Neural Networks for High-dimensional Classification. IEEE BigData 2018: 1587-1592 - [c167]Abdul Ghafoor, S. N. Balakrishnan, Sarangapani Jagannathan, Tansel Yucelen:
Event Triggered Neuro-Adaptive Controller (ETNAC) Design for Uncertain Linear Systems. CDC 2018: 2217-2222 - [c166]Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan:
Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Nonzero-Sum Games. CDC 2018: 2872-2877 - [c165]Haifeng Niu, Chandreyee Bhowmick, Sarangapani Jagannathan:
A Linear Matrix Inequality Based Attack Detection Approach for Networked Control Systems. CDC 2018: 5470-5475 - [c164]Raghavan Krishnan, V. A. Samaranayake, Sarangapani Jagannathan:
A Multi-step Nonlinear Dimension-reduction Approach with Applications to Bigdata. INNS Conference on Big Data 2018: 81-88 - [c163]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Direct Error Driven Learning for Deep Neural Networks with Applications to Bigdata. INNS Conference on Big Data 2018: 89-95 - [c162]Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan:
Adaptive Optimal Distributed Control of Linear Interconnected Systems. SSCI 2018: 1441-1446 - [c161]Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan:
Event-triggered Control of N-player Nonlinear Systems Using Nonzero-Sum Games. SSCI 2018: 1447-1452 - 2017
- [j98]Dzung Tran, Tansel Yucelen, Selahattin Burak Sarsilmaz, Sarangapani Jagannathan:
Distributed Input and State Estimation Using Local Information in Heterogeneous Sensor Networks. Frontiers Robotics AI 4: 30 (2017) - [j97]Haci Mehmet Guzey, Travis Dierks, Sarangapani Jagannathan, Levent Acar:
Hybrid Consensus-based Control of Nonholonomic Mobile Robot Formation. J. Intell. Robotic Syst. 88(1): 181-200 (2017) - [j96]Avimanyu Sahoo, Sarangapani Jagannathan:
Stochastic Optimal Regulation of Nonlinear Networked Control Systems by Using Event-Driven Adaptive Dynamic Programming. IEEE Trans. Cybern. 47(2): 425-438 (2017) - [j95]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 28(3): 639-652 (2017) - [j94]Wenchao Meng, Qinmin Yang, Jagannathan Sarangapani, Youxian Sun:
Distributed Control of Nonlinear Multiagent Systems With Asymptotic Consensus. IEEE Trans. Syst. Man Cybern. Syst. 47(5): 749-757 (2017) - [c160]Nathan Szanto, Vignesh Narayanan, Sarangapani Jagannathan:
Event-sampled control of quadrotor unmanned aerial vehicle using neural networks. ACC 2017: 2956-2961 - [c159]Haci Mehmet Guzey, Vignesh Narayanan, Sarangapani Jagannathan, Travis Dierks, Levent Acar:
Distributed consensus-based event-triggered approximate control of nonholonomic mobile robot formations. ACC 2017: 3194-3199 - [c158]Dung Tran, Tansel Yucelen, Sarangapani Jagannathan:
On local design and execution of a distributed input and state estimation architecture for heterogeneous sensor networks. ACC 2017: 3874-3879 - [c157]John Daniel Peterson, Tansel Yucelen, Sarangapani Jagannathan, Eduardo Pasiliao:
Event-triggered active-passive dynamic consensus filters. ACC 2017: 3900-3905 - [c156]Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Deep learning inspired prognostics scheme for applications generating big data. IJCNN 2017: 3296-3302 - [c155]Vignesh Narayanan, Sarangapani Jagannathan:
Online reinforcement with exploration for distributed control. IJCNN 2017: 4022-4027 - [c154]Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan:
Optimal sampling and regulation of uncertain interconnected linear continuous time systems. SSCI 2017: 1-6 - [c153]Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan:
Optimal event-triggered control of uncertain linear networked control systems: A co-design approach. SSCI 2017: 1-6 - 2016
- [j93]Jia Cai, Hasan Ferdowsi, Jagannathan Sarangapani:
Model-based fault detection, estimation, and prediction for a class of linear distributed parameter systems. Autom. 66: 122-131 (2016) - [j92]Haifeng Niu, Eyad Taqieddin, Sarangapani Jagannathan:
EPC Gen2v2 RFID Standard Authentication and Ownership Management Protocol. IEEE Trans. Mob. Comput. 15(1): 137-149 (2016) - [j91]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 27(1): 151-164 (2016) - [j90]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 27(3): 497-509 (2016) - [j89]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 27(9): 1801-1815 (2016) - [c152]Vignesh Narayanan, Sarangapani Jagannathan:
Distributed event-sampled approximate optimal control of interconnected affine nonlinear continuous-time systems. ACC 2016: 3044-3049 - [c151]Jia Cai, Sarangapani Jagannathan:
Fault isolation in distributed parameter systems modeled by parabolic partial differential equations. ACC 2016: 4356-4361 - [c150]Behzad Talaei, Sarangapani Jagannathan, John R. Singler:
Boundary control of two dimensional burgers PDE using approximate dynamic programming. ACC 2016: 5243-5248 - [c149]Nathan Szanto, Vignesh Narayanan, Sarangapani Jagannathan:
Event-sampled direct adaptive NN state-feedback control of uncertain strict-feedback system. CDC 2016: 3395-3400 - [c148]Vignesh Narayanan, Sarangapani Jagannathan:
Approximate optimal distributed control of uncertain nonlinear interconnected systems with event-sampled feedback. CDC 2016: 5827-5832 - [c147]Haifeng Niu, Sarangapani Jagannathan:
Neural network-based attack detection in nonlinear networked control systems. IJCNN 2016: 4249-4254 - [c146]Vignesh Narayanan, Sarangapani Jagannathan:
Event-sampled adaptive neural network control of robot manipulators. IJCNN 2016: 4941-4946 - 2015
- [j88]Vivek Thotla, Maciej J. Zawodniok, Sarangapani Jagannathan, Mohammad Tayeb Ahmad Ghasr, Sanjeev Agarwal:
Detection and Localization of Multiple R/C Electronic Devices Using Array Detectors. IEEE Trans. Instrum. Meas. 64(1): 241-251 (2015) - [j87]Nurbanu Güzey, Hao Xu, Sarangapani Jagannathan:
Localization of Near-Field Sources in Spatially Colored Noise. IEEE Trans. Instrum. Meas. 64(8): 2302-2311 (2015) - [j86]Hao Xu, Sarangapani Jagannathan:
Neural Network-Based Finite Horizon Stochastic Optimal Control Design for Nonlinear Networked Control Systems. IEEE Trans. Neural Networks Learn. Syst. 26(3): 472-485 (2015) - [j85]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Neural Network-Based Finite-Horizon Optimal Control of Uncertain Affine Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 26(3): 486-499 (2015) - [j84]Hao Xu, Qiming Zhao, Sarangapani Jagannathan:
Finite-Horizon Near-Optimal Output Feedback Neural Network Control of Quantized Nonlinear Discrete-Time Systems With Input Constraint. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1776-1788 (2015) - [j83]Hassan Zargarzadeh, Travis Dierks, Sarangapani Jagannathan:
Optimal Control of Nonlinear Continuous-Time Systems in Strict-Feedback Form. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2535-2549 (2015) - [j82]Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
Robust Integral of Neural Network and Error Sign Control of MIMO Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3278-3286 (2015) - [c145]Behzad Talaei, Sarangapani Jagannathan, John R. Singler:
Boundary control of linear one-dimensional parabolic PDE using neuro-dynamic programming. CCA 2015: 577-582 - [c144]Jia Cai, Hasan Ferdowsi, Sarangapani Jagannathan:
Model-based actuator fault accommodation for distributed parameter systems represented by coupled linear PDEs. CCA 2015: 978-983 - [c143]Santiago Elvira-Ceja, Edgar N. Sánchez, Sarangapani Jagannathan:
Stochastic Inverse optimal control of unknown linear networked control system in the presence of random delays and packet losses. ACC 2015: 799-804 - [c142]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Event-based neural network approximation and control of uncertain nonlinear continuous-time systems. ACC 2015: 1567-1572 - [c141]Haci Mehmet Guzey, Travis Dierks, Sarangapani Jagannathan:
Hybrid consensus-based formation control of agents with second order dynamics. ACC 2015: 4386-4391 - [c140]Raghavan Krishnan, Sarangapani Jagannathan:
Hierarchical Mahalanobis Distance Clustering Based Technique for Prognostics in Applications Generating Big Data. SSCI 2015: 516-521 - [c139]Vignesh Narayanan, Sarangapani Jagannathan:
Distributed Adaptive Optimal Regulation of Uncertain Large-Scale Linear Networked Control Systems Using Q-Learning. SSCI 2015: 587-592 - [c138]Haifeng Niu, Sarangapani Jagannathan:
Optimal Defense and Control for Cyber-Physical Systems. SSCI 2015: 634-639 - 2014
- [j81]Wenchao Meng, Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
Adaptive neural control of high-order uncertain nonaffine systems: A transformation to affine systems approach. Autom. 50(5): 1473-1480 (2014) - [j80]Hao Xu, Qiming Zhao, Sarangapani Jagannathan:
Optimal regulation of uncertain dynamic systems using adaptive dynamic programming. J. Control. Decis. 1(3): 226-256 (2014) - [j79]Balaje T. Thumati, Miles A. Feinstein, Sarangapani Jagannathan:
A Model-Based Fault Detection and Prognostics Scheme for Takagi-Sugeno Fuzzy Systems. IEEE Trans. Fuzzy Syst. 22(4): 736-748 (2014) - [j78]Nurbanu Güzey, Hao Xu, Sarangapani Jagannathan:
Localization of Near-Field Radio Controlled Unintended Emitting Sources in the Presence of Multipath Fading. IEEE Trans. Instrum. Meas. 63(11): 2696-2703 (2014) - [j77]Mohammed Rana Basheer, Sarangapani Jagannathan:
Localization and Tracking of Objects Using Cross-Correlation of Shadow Fading Noise. IEEE Trans. Mob. Comput. 13(10): 2293-2305 (2014) - [j76]Hasan Ferdowsi, Sarangapani Jagannathan, Maciej J. Zawodniok:
An Online Outlier Identification and Removal Scheme for Improving Fault Detection Performance. IEEE Trans. Neural Networks Learn. Syst. 25(5): 908-919 (2014) - [c137]Behzad Talaei, Hao Xu, Sarangapani Jagannathan:
Neural network dynamic progamming constrained control of distributed parameter systems governed by parabolic partial differential equations with application to diffusion-reaction processes. ISIC 2014: 1861-1866 - [c136]Haci Mehmet Guzey, Hao Xu, Sarangapani Jagannathan:
Neural network-based adaptive optimal consensus control of leaderless networked mobile robots. ADPRL 2014: 1-6 - [c135]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Event-based optimal regulator design for nonlinear networked control systems. ADPRL 2014: 1-8 - [c134]Hao Xu, Sarangapani Jagannathan:
Model-free Q-learning over finite horizon for uncertain linear continuous-time systems. ADPRL 2014: 1-6 - [c133]Hassan Zargarzadeh, Sarangapani Jagannathan, James A. Drallmeier:
Extremum-seeking for nonlinear discrete-time systems with application to HCCI engines. ACC 2014: 861-866 - [c132]Hao Xu, Qiming Zhao, Travis Dierks, Sarangapani Jagannathan:
Neural network-based finite-horizon approximately optimal control of uncertain affine nonlinear continuous-time systems. ACC 2014: 1243-1248 - [c131]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural network approximation-based event-triggered control of uncertain MIMO nonlinear discrete time systems. ACC 2014: 2017-2022 - [c130]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Fixed final-time near optimal regulation of nonlinear discrete-time systems in affine form using output feedback. ACC 2014: 4643-4648 - [c129]Hasan Ferdowsi, Sarangapani Jagannathan:
Fault diagnosis of a class of distributed parameter systems modeled by parabolic partial differential equations. ACC 2014: 5434-5439 - [c128]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan, Travis Dierks:
Event-triggered optimal control of nonlinear continuous-time systems in affine form by using neural networks. CDC 2014: 1227-1232 - [c127]Avimanyu Sahoo, Sarangapani Jagannathan:
Event-triggered optimal regulation of uncertain linear discrete-time systems by using Q-learning scheme. CDC 2014: 1233-1238 - [c126]Jia Cai, Hasan Ferdowsi, Sarangapani Jagannathan:
Model-based fault diagnosis and prediction for a class of distributed parameter systems. CDC 2014: 5758-5763 - [c125]Balaje T. Thumati, Jagannathan Sarangapani:
A fault prediction scheme for Takagi-Sugeno fuzzy systems with immeasurable premise variables and disturbance. CDC 2014: 6758-6763 - [c124]Behzad Talaei, Hao Xu, Sarangapani Jagannathan:
Near optimal boundary control of distributed parameter systems modeled as parabolic pdes by using finite difference neural network approximation. CDC 2014: 6776-6781 - [c123]Hao Xu, Sarangapani Jagannathan:
Finite horizon stochastic optimal control of nonlinear two-player zero-sum games under communication constraint. IJCNN 2014: 239-244 - [c122]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Near optimal event-based control of nonlinear discrete time systems in affine form with measured input and output data. IJCNN 2014: 3671-3676 - [c121]Haifeng Niu, Sarangapani Jagannathan, Eyad Salah Taqieddin:
A Gen2v2 compliant RFID authentication and ownership management protocol. LCN 2014: 331-336 - [c120]Haifeng Niu, Sarangapani Jagannathan:
A cross layer routing scheme for passive RFID tag-to-tag communication. LCN 2014: 438-441 - 2013
- [j75]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Fixed Final Time Optimal Adaptive Control of Linear Discrete-Time Systems in Input-Output form. J. Artif. Intell. Soft Comput. Res. 3(3): 175 (2013) - [j74]Balaje T. Thumati, Gary R. Halligan, Sarangapani Jagannathan:
A Novel Fault Diagnostics and Prediction Scheme Using a Nonlinear Observer With Artificial Immune System as an Online Approximator. IEEE Trans. Control. Syst. Technol. 21(3): 569-578 (2013) - [j73]Travis Dierks, Bryan Brenner, Sarangapani Jagannathan:
Neural Network-Based Optimal Control of Mobile Robot Formations With Reduced Information Exchange. IEEE Trans. Control. Syst. Technol. 21(4): 1407-1415 (2013) - [j72]Shahab Mehraeen, Travis Dierks, Sarangapani Jagannathan, Mariesa L. Crow:
Zero-Sum Two-Player Game Theoretic Formulation of Affine Nonlinear Discrete-Time Systems Using Neural Networks. IEEE Trans. Cybern. 43(6): 1641-1655 (2013) - [j71]Mohammad Tayeb Ahmad Ghasr, Vivek Thotla, Maciej J. Zawodniok, Jagannathan Sarangapani:
Detection of Super Regenerative Receiver Using Amplitude Modulated Stimulation. IEEE Trans. Instrum. Meas. 62(7): 2029-2036 (2013) - [j70]Jake Hertenstein, Sarangapani Jagannathan:
Simulation and Detection of Unintended Electromagnetic Emissions From Super-Regenerative Receivers. IEEE Trans. Instrum. Meas. 62(7): 2093-2100 (2013) - [j69]Vivek Thotla, Mohammad Tayeb Ahmad Ghasr, Maciej J. Zawodniok, Sarangapani Jagannathan, Sanjeev Agarwal:
Detection of Super-Regenerative Receivers Using Hurst Parameter. IEEE Trans. Instrum. Meas. 62(11): 3006-3014 (2013) - [j68]Mohammed Rana Basheer, Sarangapani Jagannathan:
Localization of RFID Tags Using Stochastic Tunneling. IEEE Trans. Mob. Comput. 12(6): 1225-1235 (2013) - [j67]Hao Xu, Sarangapani Jagannathan:
Stochastic Optimal Controller Design for Uncertain Nonlinear Networked Control System via Neuro Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 24(3): 471-484 (2013) - [j66]David Nodland, Hassan Zargarzadeh, Sarangapani Jagannathan:
Neural Network-Based Optimal Adaptive Output Feedback Control of a Helicopter UAV. IEEE Trans. Neural Networks Learn. Syst. 24(7): 1061-1073 (2013) - [c119]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural network-based adaptive event-triggered control of nonlinear continuous-time systems. ISIC 2013: 35-40 - [c118]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Finite-horizon optimal adaptive neural network control of uncertain nonlinear discrete-time systems. ISIC 2013: 41-46 - [c117]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Finite-horizon optimal control design for uncertain linear discrete-time systems. ADPRL 2013: 6-12 - [c116]Hao Xu, Sarangapani Jagannathan:
Finite horizon stochastic optimal control of uncertain linear networked control system. ADPRL 2013: 24-30 - [c115]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Adaptive event-triggered control of a uncertain linear discrete time system using measured input and output data. ACC 2013: 5672-5677 - [c114]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural network-based adaptive event-triggered control of affine nonlinear discrete time systems with unknown internal dynamics. ACC 2013: 6418-6423 - [c113]Haifeng Niu, Sarangapani Jagannathan:
High memory passive RFID tags with multimodal sensor design and application to asset monitoring in-transit. I2MTC 2013: 1615-1619 - [c112]Vivek Thotla, Maciej J. Zawodniok, Sarangapani Jagannathan, Sanjeev Agarwal:
Correlation based detection and localization of R/C electronic devices using array detectors. I2MTC 2013: 1636-1639 - [c111]Ivo Grondman, Hao Xu, Sarangapani Jagannathan, Robert Babuska:
Solutions to finite horizon cost problems using actor-critic reinforcement learning. IJCNN 2013: 1-7 - [c110]Hao Xu, Sarangapani Jagannathan:
Neural network based finite horizon stochastic optimal controller design for nonlinear networked control systems. IJCNN 2013: 1-7 - [c109]Qiming Zhao, Hao Xu, Travis Dierks, Sarangapani Jagannathan:
Finite-horizon neural network-based optimal control design for affine nonlinear continuous-time systems. IJCNN 2013: 1-6 - [i1]Hao Xu, Sarangapani Jagannathan:
Finite Horizon Adaptive Optimal Distributed Power Allocation for Enhanced Cognitive Radio Network in the Presence of Channel Uncertainties. CoRR abs/1302.1396 (2013) - 2012
- [j65]Hao Xu, Sarangapani Jagannathan, Frank L. Lewis:
Stochastic optimal control of unknown linear networked control system in the presence of random delays and packet losses. Autom. 48(6): 1017-1030 (2012) - [j64]Travis Dierks, Sarangapani Jagannathan:
Online Optimal Control of Affine Nonlinear Discrete-Time Systems With Unknown Internal Dynamics by Using Time-Based Policy Update. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1118-1129 (2012) - [j63]Priya Kasirajan, Carl Larsen, Sarangapani Jagannathan:
A new data aggregation scheme via adaptive compression for wireless sensor networks. ACM Trans. Sens. Networks 9(1): 5:1-5:26 (2012) - [j62]Qinmin Yang, Sarangapani Jagannathan:
Reinforcement Learning Controller Design for Affine Nonlinear Discrete-Time Systems using Online Approximators. IEEE Trans. Syst. Man Cybern. Part B 42(2): 377-390 (2012) - [c108]Hasan Ferdowsi, Deepthi L. Raja, Sarangapani Jagannathan:
A decentralized fault prognosis scheme for nonlinear interconnected discrete-time systems. ACC 2012: 5900-5905 - [c107]Shahab Mehraeen, Sarangapani Jagannathan:
Decentralized adaptive neural network state and output feedback control of a class of interconnected nonlinear discrete-time systems. ACC 2012: 6406-6411 - [c106]Hassan Zargarzadeh, Travis Dierks, Sarangapani Jagannathan:
State and output feedback-based adaptive optimal control of nonlinear continuous-time systems in strict feedback form. ACC 2012: 6412-6417 - [c105]Hao Xu, Sarangapani Jagannathan:
Stochastic optimal controller design for unknown networked control system under TCP. ACC 2012: 6503-6508 - [c104]Hassan Zargarzadeh, Travis Dierks, Sarangapani Jagannathan:
Optimal adaptive control of nonlinear continuous-time systems in strict feedback form with unknown internal dynamics. CDC 2012: 4127-4132 - [c103]Travis Dierks, Sarangapani Jagannathan:
A self-tuning optimal controller for affine nonlinear continuous-time systems with unknown internal dynamics. CDC 2012: 5392-5397 - [c102]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Optimal adaptive controller scheme for uncertain quantized linear discrete-time system. CDC 2012: 6132-6137 - [c101]Eyad Taqieddin, Jagannathan Sarangapani:
Vulnerability analysis of two ultra-lightweight RFID authentication protocols: RAPP and gossamer. ICITST 2012: 80-86 - [c100]Hasan Ferdowsi, Deepthi L. Raja, Sarangapani Jagannathan:
A decentralized fault detection and prediction scheme for nonlinear interconnected continuous-time systems. IJCNN 2012: 1-7 - [c99]Qiming Zhao, Hao Xu, Sarangapani Jagannathan:
Adaptive dynamic programming-based state quantized networked control system without value and/or policy iterations. IJCNN 2012: 1-7 - [c98]Hao Xu, Sarangapani Jagannathan:
A cross layer approach to the novel distributed scheduling protocol and event-triggered controller design for Cyber Physical Systems. LCN 2012: 232-235 - 2011
- [j61]Can Saygin, Jagannathan Sarangapani:
Radio Frequency Identification (RFID) enabling lean manufacturing. Int. J. Manuf. Res. 6(4): 321-336 (2011) - [j60]Travis Dierks, Bryan Brenner, Sarangapani Jagannathan:
Discrete-Time Optimal Control of Nonholonomic Mobile Robot Formations Using Linearly Parameterized Neural Networks. Int. J. Robotics Autom. 26(1) (2011) - [j59]Behdis Eslamnour, Sarangapani Jagannathan, Maciej J. Zawodniok:
Dynamic Channel Allocation in Wireless Networks Using Adaptive Learning Automata. Int. J. Wirel. Inf. Networks 18(4): 295-308 (2011) - [j58]Shahab Mehraeen, Sarangapani Jagannathan, Mariesa L. Crow:
Decentralized Dynamic Surface Control of Large-Scale Interconnected Systems in Strict-Feedback Form Using Neural Networks With Asymptotic Stabilization. IEEE Trans. Neural Networks 22(11): 1709-1722 (2011) - [j57]Shahab Mehraeen, Sarangapani Jagannathan:
Decentralized Optimal Control of a Class of Interconnected Nonlinear Discrete-Time Systems by Using Online Hamilton-Jacobi-Bellman Formulation. IEEE Trans. Neural Networks 22(11): 1757-1769 (2011) - [j56]Ahmet Soylemezoglu, Sarangapani Jagannathan, Can Saygin:
Mahalanobis-Taguchi System as a Multi-Sensor Based Decision Making Prognostics Tool for Centrifugal Pump Failures. IEEE Trans. Reliab. 60(4): 864-878 (2011) - [c97]Balaje T. Thumati, Miles A. Feinstein, James W. Fonda, Alfred Turnbull, Fay J. Weaver, Mark E. Calkins, Sarangapani Jagannathan:
An online model-based fault diagnosis scheme for HVAC systems. CCA 2011: 70-75 - [c96]Gary R. Halligan, Balaje T. Thumati, Sarangapani Jagannathan:
Artificial immune system-based diagnostics and prognostics scheme and its experimental verification. CCA 2011: 958-963 - [c95]Hao Xu, Sarangapani Jagannathan:
Model-free H∞ stochastic optimal design for unknown linear networked control system zero-sum games via Q-learning. ISIC 2011: 198-203 - [c94]Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
NN/RISE-based asymptotic tracking control of uncertain nonlinear systems. ISIC 2011: 1361-1366 - [c93]Travis Dierks, Bryan Brenner, Sarangapani Jagannathan:
Near optimal control of mobile robot formations. ADPRL 2011: 234-241 - [c92]Hassan Zargarzadeh, Sarangapani Jagannathan, James A. Drallmeier:
Online near optimal control of unknown nonaffine systems with application to HCCI engines. ADPRL 2011: 258-263 - [c91]Hao Xu, Sarangapani Jagannathan:
Stochastic optimal control of unknown linear networked control system using Q-learning methodology. ACC 2011: 2819-2824 - [c90]Hao Xu, Sarangapani Jagannathan:
Stochastic optimal control design for nonlinear networked control system via neuro dynamic programming using input-output measurements. CDC/ECC 2011: 136-141 - [c89]Hasan Ferdowsi, Sarangapani Jagannathan:
A unified model-based fault diagnosis scheme for nonlinear discrete-time systems with additive and multiplicative faults. CDC/ECC 2011: 1570-1575 - [c88]David Nodland, Hassan Zargarzadeh, Sarangapani Jagannathan:
Neural network-based optimal control for trajectory tracking of a helicopter UAV. CDC/ECC 2011: 3876-3881 - [c87]Qinmin Yang, Sarangapani Jagannathan, Youxian Sun:
Robust integral of neural network and sign of tracking error control of uncertain nonlinear affine systems using state and output feedback. CDC/ECC 2011: 6765-6770 - [c86]Mohammed Rana Basheer, Sarangapani Jagannathan:
Localization of Objects Using Cross-Correlation of Shadow Fading Noise and Copulas. GLOBECOM 2011: 1-5 - [c85]Mohammed Rana Basheer, Sarangapani Jagannathan:
Localization of objects using stochastic tunneling. WCNC 2011: 587-592 - 2010
- [j55]Can Saygin, Deepak Mohan, Jagannathan Sarangapani:
Real-time detection of grip length during fastening of bolted joints: a Mahalanobis-Taguchi system (MTS) based approach. J. Intell. Manuf. 21(4): 377-392 (2010) - [j54]Shahab Mehraeen, Sarangapani Jagannathan, Keith A. Corzine:
Energy Harvesting From Vibration With Alternate Scavenging Circuitry and Tapered Cantilever Beam. IEEE Trans. Ind. Electron. 57(3): 820-830 (2010) - [j53]Travis Dierks, Sarangapani Jagannathan:
Output feedback control of a quadrotor UAV using neural networks. IEEE Trans. Neural Networks 21(1): 50-66 (2010) - [j52]Balaje T. Thumati, Sarangapani Jagannathan:
A model-based fault-detection and prediction scheme for nonlinear multivariable discrete-time systems with asymptotic stability guarantees. IEEE Trans. Neural Networks 21(3): 404-423 (2010) - [j51]Travis Dierks, Sarangapani Jagannathan:
Neural Network Output Feedback Control of Robot Formations. IEEE Trans. Syst. Man Cybern. Part B 40(2): 383-399 (2010) - [c84]Travis Dierks, Sarangapani Jagannathan:
Optimal control of affine nonlinear continuous-time systems. ACC 2010: 1568-1573 - [c83]Shahab Mehraeen, Sarangapani Jagannathan, Mariesa L. Crow:
Decentralized state feedback and near optimal adaptive neural network control of interconnected nonlinear discrete-time systems. CDC 2010: 114-119 - [c82]Travis Dierks, Sarangapani Jagannathan:
Optimal control of affine nonlinear continuous-time systems using an online Hamilton-Jacobi-Isaacs formulation. CDC 2010: 3048-3053 - [c81]James W. Fonda, Sarangapani Jagannathan, Steve E. Watkins:
Robust neural network RISE observer based fault diagnostics and prediction. IJCNN 2010: 1-8 - [c80]Shahab Mehraeen, Travis Dierks, Sarangapani Jagannathan, Mariesa L. Crow:
Zero-sum two-player game theoretic formulation of affine nonlinear discrete-time systems using neural networks. IJCNN 2010: 1-8 - [c79]Shahab Mehraeen, Sarangapani Jagannathan:
Decentralized nearly optimal control of a class of interconnected nonlinear discrete-time systems by using online Hamilton-Bellman-Jacobi formulation. IJCNN 2010: 1-8 - [c78]Behdis Eslamnour, Sarangapani Jagannathan:
Adaptive Routing Scheme for Emerging Wireless Ad Hoc Networks. SRDS 2010: 318-322 - [c77]Mohammed Rana Basheer, Sarangapani Jagannathan:
A New Receiver Placement Scheme Using Delaunay Refinement-Based Triangulation. WCNC 2010: 1-6 - [c76]Priya Kasirajan, Carl Larsen, Sarangapani Jagannathan:
A New Adaptive Compression Scheme for Data Aggregation in Wireless Sensor Networks. WCNC 2010: 1-6
2000 – 2009
- 2009
- [j50]James W. Fonda, Maciej J. Zawodniok, Sarangapani Jagannathan, Steve E. Watkins:
Adaptive Distributed Fair Scheduling for Multiple Channels in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 5(6): 824-833 (2009) - [j49]Jonathan Blake Vance, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Neuro emission controller for minimising cyclic dispersion in spark ignition engines with EGR levels. Int. J. Gen. Syst. 38(1): 45-72 (2009) - [j48]Reghu Anguswamy, Can Saygin, Sarangapani Jagannathan:
In-process detection of fastener grip length using embedded mobile wireless sensor network-based pull-type tools. Int. J. Manuf. Res. 4(2): 154-170 (2009) - [j47]Tim Landstra, Sarangapani Jagannathan, Maciej J. Zawodniok:
Energy-efficient Hybrid Key Management Protocol for Wireless Sensor Networks. Int. J. Netw. Secur. 9(2): 121-134 (2009) - [j46]Travis Dierks, Sarangapani Jagannathan:
Asymptotic Adaptive Neural Network Tracking Control of Nonholonomic Mobile Robot Formations. J. Intell. Robotic Syst. 56(1-2): 153-176 (2009) - [j45]Travis Dierks, Balaje T. Thumati, Sarangapani Jagannathan:
Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence. Neural Networks 22(5-6): 851-860 (2009) - [j44]Ahmet Soylemezoglu, Maciej J. Zawodniok, Sarangapani Jagannathan:
RFID-Based Smart Freezer. IEEE Trans. Ind. Electron. 56(7): 2347-2356 (2009) - [j43]Travis Dierks, Sarangapani Jagannathan:
Neural Network Control of Mobile Robot Formations Using RISE Feedback. IEEE Trans. Syst. Man Cybern. Part B 39(2): 332-347 (2009) - [j42]Peter Shih, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Reinforcement-Learning-Based Output-Feedback Control of Nonstrict Nonlinear Discrete-Time Systems With Application to Engine Emission Control. IEEE Trans. Syst. Man Cybern. Part B 39(5): 1162-1179 (2009) - [c75]Balaje T. Thumati, Sarangapani Jagannathan:
Neural network control of a class of nonlinear discrete time systems with asymptotic stability guarantees. ACC 2009: 2934-2939 - [c74]Travis Dierks, Sarangapani Jagannathan:
Neural network control of quadrotor UAV formations. ACC 2009: 2990-2996 - [c73]Balaje T. Thumati, Sarangapani Jagannathan:
A model based fault detection and accommodation scheme for nonlinear discrete-time systems with asymptotic stability guarantee. ACC 2009: 4988-4993 - [c72]Travis Dierks, Sarangapani Jagannathan:
Optimal tracking control of affine nonlinear discrete-time systems with unknown internal dynamics. CDC 2009: 6750-6755 - [c71]Travis Dierks, Balaje T. Thumati, Sarangapani Jagannathan:
Adaptive dynamic programming-based optimal control of unknown affine nonlinear discrete-time systems. IJCNN 2009: 711-716 - [c70]Shahab Mehraeen, Sarangapani Jagannathan, Mariesa L. Crow:
Decentralized control of large scale interconnected systems using adaptive neural network-based dynamic surface control. IJCNN 2009: 2058-2064 - [c69]Mohammed Rana Basheer, Sarangapani Jagannathan:
R-Factor: A New Parameter to Enhance Location Accuracy in RSSI Based Real-time Location Systems. SECON 2009: 1-9 - [c68]Behdis Eslamnour, Maciej J. Zawodniok, Sarangapani Jagannathan:
Dynamic channel allocation in wireless networks using adaptive learning automata. WCNC 2009: 1836-1841 - [c67]Reghu Anguswamy, Maciej J. Zawodniok, Sarangapani Jagannathan:
A multi-interface multi-channel routing (MMCR) protocol for wireless ad hoc networks. WCNC 2009: 2338-2343 - 2008
- [j41]Anil Ramachandran, Sarangapani Jagannathan:
Use of Frequency Diversity in Signal Strength Based Location Determination? Ad Hoc Sens. Wirel. Networks 5(3-4): 203-233 (2008) - [j40]Jonathan Blake Vance, Sarangapani Jagannathan:
Discrete-time neural network output feedback control of nonlinear discrete-time systems in non-strict form. Autom. 44(4): 1020-1027 (2008) - [j39]Kainan Cha, Anil Ramachandran, Sarangapani Jagannathan:
Adaptive and Probabilistic Power Control Algorithms for RFID Reader Networks. Int. J. Distributed Sens. Networks 4(4): 347-368 (2008) - [j38]Eyad Taqieddin, Sarangapani Jagannathan, Ann Miller:
Optimal Energy-Delay Routing Protocol with Trust Levels for Wireless Ad Hoc Networks. Int. J. Netw. Secur. 7(2): 207-217 (2008) - [j37]Jonathan Blake Vance, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Output Feedback Controller for Operation of Spark Ignition Engines at Lean Conditions Using Neural Networks. IEEE Trans. Control. Syst. Technol. 16(2): 214-228 (2008) - [j36]Zheng Chen, Sarangapani Jagannathan:
Generalized Hamilton-Jacobi-Bellman Formulation -Based Neural Network Control of Affine Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks 19(1): 90-106 (2008) - [j35]Peter Shih, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Reinforcement-Learning-Based Dual-Control Methodology for Complex Nonlinear Discrete-Time Systems With Application to Spark Engine EGR Operation. IEEE Trans. Neural Networks 19(8): 1369-1388 (2008) - [j34]Sarangapani Jagannathan, Pingan He:
Neural-Network-Based State Feedback Control of a Nonlinear Discrete-Time System in Nonstrict Feedback Form. IEEE Trans. Neural Networks 19(12): 2073-2087 (2008) - [j33]Qinmin Yang, Sarangapani Jagannathan:
A Suite of Robust Controllers for the Manipulation of Microscale Objects. IEEE Trans. Syst. Man Cybern. Part B 38(1): 113-125 (2008) - [j32]Qinmin Yang, Jonathan Blake Vance, Sarangapani Jagannathan:
Control of Nonaffine Nonlinear Discrete-Time Systems Using Reinforcement-Learning-Based Linearly Parameterized Neural Networks. IEEE Trans. Syst. Man Cybern. Part B 38(4): 994-1001 (2008) - [c66]Balaje T. Thumati, Sarangapani Jagannathan:
A model based fault detection and prognostic scheme for uncertain nonlinear discrete-time systems. CDC 2008: 392-397 - [c65]Travis Dierks, Sarangapani Jagannathan:
Neural network output feedback control of a quadrotor UAV. CDC 2008: 3633-3639 - [c64]James W. Fonda, Maciej J. Zawodniok, Sarangapani Jagannathan, Al Salour, Donald Miller Jr.:
Missouri S&T Mote-Based Demonstration of Energy Monitoring Solution for Network Enabled Manufacturing Using Wireless Sensor Networks (WSN). IPSN 2008: 559-560 - [c63]Balaje T. Thumati, Jagannathan Sarangapani:
A model based fault detection scheme for nonlinear multivariable discrete-time systems. SMC 2008: 1978-1983 - [c62]Shahab Mehraeen, Sarangapani Jagannathan, Mariesa L. Crow:
Novel dynamic representation and control of power networks embedded with FACTS devices. SMC 2008: 3171-3176 - [c61]James W. Fonda, Sarangapani Jagannathan, Steve E. Watkins:
Joint adaptive distributed rate and power control for wireless networks. SMC 2008: 3216-3221 - 2007
- [j31]Maciej J. Zawodniok, Sarangapani Jagannathan:
Energy-efficient Rate Adaptation MAC Protocol for Ad Hoc Wireless Networks. Int. J. Wirel. Inf. Networks 14(4): 251-263 (2007) - [j30]Kainan Cha, Sarangapani Jagannathan, David J. Pommerenke:
Adaptive Power Control Protocol With Hardware Implementation for Wireless Sensor and RFID Reader Networks. IEEE Syst. J. 1(2): 145-159 (2007) - [j29]Jonathan Blake Vance, Atmika Singh, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Neural Network Controller Development and Implementation for Spark Ignition Engines With High EGR Levels. IEEE Trans. Neural Networks 18(4): 1083-1100 (2007) - [j28]Pingan He, Sarangapani Jagannathan:
Reinforcement Learning Neural-Network-Based Controller for Nonlinear Discrete-Time Systems With Input Constraints. IEEE Trans. Syst. Man Cybern. Part B 37(2): 425-436 (2007) - [j27]Maciej J. Zawodniok, Sarangapani Jagannathan:
Predictive Congestion Control Protocol for Wireless Sensor Networks. IEEE Trans. Wirel. Commun. 6(11): 3955-3963 (2007) - [c60]Travis Dierks, Sarangapani Jagannathan:
Control of Nonholonomic Mobile Robot Formations: Backstepping Kinematics into Dynamics. CCA 2007: 94-99 - [c59]Wenxin Liu, Ganesh K. Venayagamoorthy, Sarangapani Jagannathan, Donald C. Wunsch, Mariesa L. Crow, Li Liu, David A. Cartes:
Comparisons Of An Adaptive Neural Network Based Controller And An Optimized Conventional Power System Stabilizer. CCA 2007: 922-927 - [c58]Carl Larsen, Maciej J. Zawodniok, Sarangapani Jagannathan:
Route Aware Predictive Congestion Control Protocol for Wireless Sensor Networks. ISIC 2007: 13-18 - [c57]Travis Dierks, Sarangapani Jagannathan:
Control of Nonholonomic Mobile Robot Formations Using Neural Networks. ISIC 2007: 132-137 - [c56]Peter Shih, Sarangapani Jagannathan:
Reinforcement Learning based Output-Feedback Controller for Complex Nonlinear Discrete-time Systems. ISIC 2007: 407-412 - [c55]Qinmin Yang, Sarangapani Jagannathan:
Near Optimal Neural Network-based Output Feedback Control of Affine Nonlinear Discrete-Time Systems. ISIC 2007: 578-583 - [c54]Wenxin Liu, Sarangapani Jagannathan, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Mariesa L. Crow, Li Liu, David A. Cartes:
Neural Network Based Decentralized Controls of Large Scale Power Systems. ISIC 2007: 676-681 - [c53]Qinmin Yang, Sarangapani Jagannathan:
Online Reinforcement Learning-based Neural Network Controller Design for Affine Nonlinear Discrete-time Systems. ACC 2007: 4774-4779 - [c52]Peter Shih, Jonathan Blake Vance, Sarangapani Jagannathan, Brian C. Kaul, James A. Drallmeier:
Reinforcement Learning based Output-Feedback Control of Nonlinear Nonstrict Feedback Discrete-time Systems with Application to Engines. ACC 2007: 5106-5111 - [c51]Travis Dierks, Sarangapani Jagannathan:
Asymptotic stability of nonholonomic mobile robot formations using multilayer neural networks. CDC 2007: 1944-1950 - [c50]Balaje T. Thumati, Sarangapani Jagannathan:
An online approximator-based fault detection framework for nonlinear discrete-time systems. CDC 2007: 2608-2613 - [c49]Qinmin Yang, Sarangapani Jagannathan:
Online reinforcement learning control of unknown nonaffine nonlinear discrete time systems. CDC 2007: 5942-5947 - [c48]Peter Shih, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Near Optimal Output-Feedback Control of Nonlinear Discrete-time Systems in Nonstrict Feedback Form with Application to Engines. IJCNN 2007: 396-401 - [c47]Travis Dierks, Sarangapani Jagannathan:
Neural Network Control of Robot Formations using RISE Feedback. IJCNN 2007: 2794-2799 - [c46]James W. Fonda, Maciej J. Zawodniok, Jeffery T. Birt, Sarangapani Jagannathan:
UMR mote-based demonstration of wireless sensor networking protocols using pneumatic testbed. IPSN 2007: 569-570 - [c45]Anil Ramachandran, Sarangapani Jagannathan:
Spatial Diversity in Signal Strength based WLAN Location Determination Systems. LCN 2007: 10-17 - [c44]Anil Ramachandran, Sarangapani Jagannathan:
Use of Frequency Diversity in Signal Strength based WLAN Location Determination Systems. LCN 2007: 117-124 - [c43]Tim Landstra, Maciej J. Zawodniok, Sarangapani Jagannathan:
Energy-Efficient Hybrid Key Management Protocol for Wireless Sensor Networks. LCN 2007: 1009-1016 - 2006
- [j26]Mingsheng Peng, Sarangapani Jagannathan, S. R. Subramanya:
Rate-based end-to-end congestion control of multimedia traffic in packet switched networks. J. High Speed Networks 15(4): 357-378 (2006) - [j25]Sarangapani Jagannathan, Maciej J. Zawodniok, Qingyang Shang:
Distributed power control for cellular networks in the presence of channel uncertainties. IEEE Trans. Wirel. Commun. 5(3): 540-549 (2006) - [c42]Jonathan Blake Vance, Pingan He, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Neural network-based output feedback controller for lean operation of spark ignition engines. ACC 2006: 1-8 - [c41]Qinmin Yang, Sarangapani Jagannathan:
Nanomanipulation using atomic force microscope with drift compensation. ACC 2006 - [c40]Kainan Cha, Anil Ramachandran, Sarangapani Jagannathan, David Pommerenke:
Decentralized Power Control with Implementation for RFID Networks. CDC 2006: 1858-1863 - [c39]Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, David A. Cartes:
Neural Network based Decentralized Excitation Control of Large Scale Power Systems. IJCNN 2006: 1975-1981 - [c38]Atmika Singh, Jonathan Blake Vance, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
Neural Network Control of Spark Ignition Engines with High EGR Levels. IJCNN 2006: 4978-4985 - [c37]Maciej J. Zawodniok, Sarangapani Jagannathan:
Dynamic Programming-based Energy-Efficient Rate Adaptation for Wireless Ad Hoc Networks. LCN 2006: 521-524 - [c36]James W. Fonda, Maciej J. Zawodniok, Sarangapani Jagannathan, Steve E. Watkins:
Adaptive Distributed Fair Scheduling and Its Implementation in Wireless Sensor Networks. SMC 2006: 3382-3387 - 2005
- [j24]Pingan He, Sarangapani Jagannathan:
Neuro-controller for reducing cyclic variation in lean combustion spark ignition engines. Autom. 41(7): 1133-1142 (2005) - [j23]Sarangapani Jagannathan:
Admission controller design for high-speed networks: A hybrid system approach. J. High Speed Networks 14(3): 263-281 (2005) - [j22]Pingan He, Sarangapani Jagannathan:
Reinforcement learning-based output feedback control of nonlinear systems with input constraints. IEEE Trans. Syst. Man Cybern. Part B 35(1): 150-154 (2005) - [c35]Sarangapani Jagannathan:
Decentralized Discrete-Time Neural Network Controller for a Class of Nonlinear Systems with Unknown Interconnections. ISIC 2005: 268-273 - [c34]Sarangapani Jagannathan, Qinmin Yang:
A robust controller for the manipulation of micro scale objects. ACC 2005: 4154-4159 - [c33]Pingan He, Zheng Chen, Sarangapani Jagannathan:
Neural Network-based Control of Nonlinear Discrete-Time Svstems in Non-Strict Form. CDC/ECC 2005: 2580-2585 - [c32]Zheng Chen, Sarangapani Jagannathan:
Neural Network -based Nearly Optimal Hamilton-Jacobi-Bellman Solution for Affine Nonlinear Discrete-Time Systems. CDC/ECC 2005: 4123-4128 - [c31]Maciej J. Zawodniok, Sarangapani Jagannathan:
Energy-efficient rate adaptation MAC protocol for ad hoc wireless networks. IPCCC 2005: 389-394 - 2004
- [j21]Sarangapani Jagannathan, Gustavo Galan:
gripper. IEEE Trans. Neural Networks 15(2): 395-407 (2004) - [c30]Vijayakumar Janardhan, Pingan He, Sarangapani Jagannathan:
Neural network controller for manipulation of micro-scale objects. ISIC 2004: 55-60 - [c29]Sarangapani Jagannathan, Mohammed Hameed:
Adaptive force-balancing control of MEMS gyroscope with actuator limits. ACC 2004: 1862-1867 - [c28]Pingan He, Sarangapani Jagannathan:
Discrete-time neural network output feedback control of nonlinear systems in non-strict feedback form. ACC 2004: 2439-2444 - [c27]Pingan He, Sarangapani Jagannathan:
Reinforcement learning-based output feedback control of nonlinear systems with input constraints. ACC 2004: 2563-2568 - [c26]Wenxin Liu, Sarangapani Jagannathan, Donald C. Wunsch II, Mariesa L. Crow:
Decentralized neural network control of a class of large-scale systems with unknown interconnections. CDC 2004: 4972-4977 - [c25]Niranjan Regatte, Carl Larsen, Sarangapani Jagannathan:
A New Fair Scheduling MAC Protocol for Wireless Sensor Networks. ESA/VLSI 2004: 93-98 - [c24]Sarangapani Jagannathan, Qingyang Shang:
Distributed Power Control For Cellular Networks In the Presence of Rayleigh Fading Channel. INFOCOM 2004: 1055-1066 - [c23]Maciej J. Zawodniok, Sarangapani Jagannathan:
A distributed power control MAC protocol for wireless ad hoc networks. WCNC 2004: 1915-1920 - 2003
- [j20]Sarangapani Jagannathan, Gustavo Galan:
One-layer neural-network controller with preprocessed inputs for autonomous underwater vehicles. IEEE Trans. Veh. Technol. 52(5): 1342-1355 (2003) - [c22]Pingan He, Sarangapani Jagannathan:
Lean combustion stability of spark ignition engines. CCA 2003: 167-172 - [c21]Pingan He, Sarangapani Jagannathan:
Discrete-time neural network control of nonlinear systems in non-strict feedback form. CDC 2003: 5703-5708 - [c20]Pingan He, Sarangapani Jagannathan:
Adaptive critic neural network-based controller for nonlinear systems with input constraints. CDC 2003: 5709-5714 - [c19]S. R. Subramanya, Jagannathan Sarangapani, Mingsheng Peng:
A scheme for fair, rate-based end-to-end congestion control of multimedia traffic in packet switched networks. ICME 2003: 357-360 - [c18]S. R. Subramanya, Mingsheng Peng, Jagannathan Sarangapani:
Rate-Based End-to-End Congestion Control of Multimedia Traffic in Packet Switched Networks. ITCC 2003: 342-346 - 2002
- [j19]Sarangapani Jagannathan, Jayasree Talluri:
Predictive congestion control of ATM networks: multiple sources/single buffer scenario. Autom. 38(5): 815-820 (2002) - [j18]Anthony T. Chronopoulos, S. Ponipireddy, Jagannathan Sarangapani:
Constructing Energy-Efficient Broadcast Trees in Wireless Ad Hoc Networks. Sci. Ann. Cuza Univ. 11: 205-213 (2002) - [j17]Sarangapani Jagannathan, Jayasree Talluri:
Adaptive predictive congestion control of high-speed ATM networks. IEEE Trans. Broadcast. 48(2): 129-139 (2002) - [c17]Sarangapani Jagannathan:
Adaptive critic neural network-based controller for nonlinear systems. ISIC 2002: 303-308 - [c16]Sarangapani Jagannathan, A. Tohmaz, Anthony Theodore Chronopoulos, H. G. Cheung:
Adaptive admission control of multimedia traffic in high-speed networks. ISIC 2002: 728-733 - [c15]Pingan He, Sarangapani Jagannathan, S. N. Balakrishnan:
Adaptive critic-based neural network controller for uncertain nonlinear systems with unknown deadzones. CDC 2002: 955-960 - [c14]Sarangapani Jagannathan, Anthony T. Chronopoulos, S. Ponipireddy:
Distributed power control in wireless communication systems. ICCCN 2002: 493-496 - [c13]Anthony T. Chronopoulos, Jagannathan Sarangapani:
A Distributed Discrete-Time Neural Network Architecture for Pattern Allocation and Control. IPDPS 2002 - [c12]Sarangapani Jagannathan:
A Hybrid System Theoretic Approach for Admission Controller Design in Multimedia Networks. LCN 2002: 150-159 - [c11]Sarangapani Jagannathan:
End to End Congestion Control in High-Speed Networks. LCN 2002: 547-556 - 2001
- [j16]Sarangapani Jagannathan:
Control of a class of nonlinear discrete-time systems using multilayer neural networks. IEEE Trans. Neural Networks 12(5): 1113-1120 (2001) - [c10]Sarangapani Jagannathan, Annie Levesque, Yesh P. Singh:
Adaptive network control of a mobile base with an onboard arm for MARS greenhouse operation. ACC 2001: 606-611 - [c9]Sarangapani Jagannathan, Jayasree Talluri:
Congestion control of ATM networks using multilayer neural network approach: multiple source/single switch scenario. ACC 2001: 3789-3794 - [c8]Gustavo Galan, Sarangapani Jagannathan:
Adaptive critic neural network-based object grasping control using a three-finger gripper. CDC 2001: 3140-3145 - 2000
- [j15]Sarangapani Jagannathan, M. W. Vandegrift, Frank L. Lewis:
Adaptive fuzzy logic control of discrete-time dynamical systems. Autom. 36(2): 229-241 (2000) - [j14]Sarangapani Jagannathan, Frank L. Lewis:
Robust backstepping control of a class of nonlinear systems using fuzzy logic. Inf. Sci. 123(3-4): 223-240 (2000) - [c7]Sarangapani Jagannathan, Jayasree Talluri:
Adaptive traffic rate control of ATM networks. ACC 2000: 1577-1581 - [c6]Sarangapani Jagannathan, G. V. S. Raju:
Remaining useful life prediction of automotive engine oils using MEMS technologies. ACC 2000: 3511-3512 - [c5]Sarangapani Jagannathan, Jayasree Talluri:
Predictive congestion control of ATM networks: multiple sources/single buffer scenario. CDC 2000: 47-52
1990 – 1999
- 1999
- [j13]Sarangapani Jagannathan, Frank L. Lewis:
Feedback linearization of nonlinear systems using fuzzy logic. J. Intell. Fuzzy Syst. 7(2): 107-124 (1999) - [j12]Sarangapani Jagannathan:
Discrete-time CMAC NN control of feedback linearizable nonlinear systems under a persistence of excitation. IEEE Trans. Neural Networks 10(1): 128-137 (1999) - 1998
- [j11]Sarangapani Jagannathan, Sesh Commuri, Frank L. Lewis:
Feedback Linearization using CMAC Neural Networks. Autom. 34(5): 547-557 (1998) - [j10]Sarangapani Jagannathan:
Adaptive Fuzzy Logic Control of Feedback Linearizable Discrete-time Dynamical Systems Under Persistence of Excitation. Autom. 34(11): 1295-1310 (1998) - [j9]Sarangapani Jagannathan, Frank L. Lewis:
Robust Backstepping Control of Robotic Systems Using Neural Networks. J. Intell. Robotic Syst. 23(2-4): 105-128 (1998) - 1997
- [j8]Sarangapani Jagannathan:
Discrete-time fuzzy logic control of a mobile robot with an onboard manipulator. Int. J. Syst. Sci. 28(12): 1195-1209 (1997) - [j7]Sesh Commuri, Sarangapani Jagannathan, Frank L. Lewis:
CMAC neural network control of robot manipulators. J. Field Robotics 14(6): 465-482 (1997) - [c4]Sesh Commuri, Sarangapani Jagannathan:
Modular controls design for robot manipulators using CMAC neural networks. ICRA 1997: 1725-1730 - 1996
- [j6]Sarangapani Jagannathan, Frank L. Lewis:
Robust implicit self-tuning regulator: Convergence and stability. Autom. 32(12): 1629-1644 (1996) - [j5]Sarangapani Jagannathan, Frank L. Lewis:
Identification of nonlinear dynamical systems using multilayered neural networks. Autom. 32(12): 1707-1712 (1996) - [j4]Sarangapani Jagannathan, Frank L. Lewis:
Discrete-time neural net controller for a class of nonlinear dynamical systems. IEEE Trans. Autom. Control. 41(11): 1693-1699 (1996) - [j3]Sarangapani Jagannathan, Frank L. Lewis:
Multilayer discrete-time neural-net controller with guaranteed performance. IEEE Trans. Neural Networks 7(1): 107-130 (1996) - [c3]Sarangapani Jagannathan:
Adaptive control of unknown feedback linearizable systems in discrete-time using neural networks. ICRA 1996: 258-263 - [c2]Sarangapani Jagannathan, Frank L. Lewis:
Discrete-time adaptive fuzzy logic control of robotic systems. ICRA 1996: 2586-2591 - 1994
- [j2]Sarangapani Jagannathan, Frank L. Lewis, Kai Liu:
Motion control and obstacle avoidance of a mobile robot with an onboard manipulator. J. Intell. Manuf. 5(4): 287-302 (1994) - [j1]Sarangapani Jagannathan, S. Q. Zhu, Frank L. Lewis:
Path planning and control of a mobile base with nonholonomic constraints. Robotica 12(6): 529-539 (1994)
1980 – 1989
- 1987
- [c1]Sarangapani Jagannathan:
A model of data backup and recovery in a computer system for functional programming. Formal Description of Programming Concepts 1987: 167-192
Coauthor Index
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