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2020 – today
- 2024
[c25]Md Sazzad Hossen, Avimanyu Sahoo, Huaxia Wang:
Multilabel Defect Classification of Large Concrete Structures Using Vision Graph Neural Network with Edge Convolution. IJCNN 2024: 1-8- [i2]Mohammad Rostami, Atik Faysal, Huaxia Wang, Avimanyu Sahoo, Ryan Antle:
Meta-Tasks: An alternative view on Meta-Learning Regularization. CoRR abs/2402.18599 (2024) - 2023
- [c24]Geetika Vennam, Avimanyu Sahoo, Vignesh Narayanan:
Core Temperature Estimation of Lithium-ion Batteries Under Internal Thermal Faults Using Neural Networks. CCTA 2023: 376-381 - [i1]Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle:
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning. CoRR abs/2310.13085 (2023) - 2022
- [c23]Geetika Vennam, Avimanyu Sahoo, Samir Ahmed:
A Novel Coupled Electro-thermal-aging Model for Simultaneous SOC, SOH, and Parameter Estimation of Lithium-ion Batteries. ACC 2022: 5259-5264 - 2021
- [j11]Li Li, Gary G. Yen, Avimanyu Sahoo, Liang Chang, Tianlong Gu:
On the estimation of pareto front and dimensional similarity in many-objective evolutionary algorithm. Inf. Sci. 563: 375-400 (2021) - [c22]Avimanyu Sahoo, Vignesh Narayanan, Qiming Zhao:
Adaptive Gain Observers for Distributed State Estimation of Linear Systems. ACC 2021: 298-303 - 2020
- [j10]Avimanyu Sahoo
, Vignesh Narayanan:
Differential-game for resource aware approximate optimal control of large-scale nonlinear systems with multiple players. Neural Networks 124: 95-108 (2020) - [c21]Li Li, Avimanyu Sahoo, Liang Chang:
A Novel Evolutionary Algorithm with Pareto Front Adaption for Many-objective Optimization. ACC 2020: 3607-3612 - [c20]Avimanyu Sahoo, Vignesh Narayanan, Qiming Zhao:
Finite-time Adaptive Optimal Output Feedback Control of Linear Systems with Intermittent Feedback. SSCI 2020: 233-240 - [c19]Li Li, Avimanyu Sahoo, Liang Chang:
A Multi-objective Evolutionary Algorithm based on R2 Indicator for Pickup and Delivery Problem with Time Windows. SSCI 2020: 1315-1320
2010 – 2019
- 2019
- [j9]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) - [j8]Avimanyu Sahoo, Vignesh Narayanan:
Optimization of sampling intervals for tracking control of nonlinear systems: A game theoretic approach. Neural Networks 114: 78-90 (2019) - [j7]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) - [j6]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) - [c18]Geetika Vennam, Avimanyu Sahoo:
Simultaneous State and Parameter Estimation of Lithium-ion Battery: An Observer Based Approach. ACC 2019: 4485-4490 - [c17]Haifeng Niu, Avimanyu Sahoo, Chandreyee Bhowmick, Sarangapani Jagannathan:
Attack Detection in Linear Networked Control Systems by Using Learning Methodology. CCTA 2019: 148-153 - 2018
- [c16]Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan:
Optimal Event-triggered Control of Nonlinear Systems: A Min-max Approach. ACC 2018: 3441-3446 - [c15]Avimanyu Sahoo, Vignesh Narayanan:
Event-based Near Optimal Sampling and Tracking Control of Nonlinear Systems. CDC 2018: 55-60 - [c14]Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan:
Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Nonzero-Sum Games. CDC 2018: 2872-2877 - [c13]Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan:
Adaptive Optimal Distributed Control of Linear Interconnected Systems. SSCI 2018: 1441-1446 - [c12]Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan:
Event-triggered Control of N-player Nonlinear Systems Using Nonzero-Sum Games. SSCI 2018: 1447-1452 - 2017
- [j5]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) - [j4]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) - [c11]Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan:
Optimal sampling and regulation of uncertain interconnected linear continuous time systems. SSCI 2017: 1-6 - [c10]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
- [j3]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) - [j2]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) - [j1]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) - 2015
- [c9]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Event-based neural network approximation and control of uncertain nonlinear continuous-time systems. ACC 2015: 1567-1572 - 2014
- [c8]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Event-based optimal regulator design for nonlinear networked control systems. ADPRL 2014: 1-8 - [c7]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural network approximation-based event-triggered control of uncertain MIMO nonlinear discrete time systems. ACC 2014: 2017-2022 - [c6]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 - [c5]Avimanyu Sahoo, Sarangapani Jagannathan:
Event-triggered optimal regulation of uncertain linear discrete-time systems by using Q-learning scheme. CDC 2014: 1233-1238 - [c4]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 - 2013
- [c3]Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan:
Neural network-based adaptive event-triggered control of nonlinear continuous-time systems. ISIC 2013: 35-40 - [c2]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 - [c1]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
Coauthor Index
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