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Shunichi Azuma
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2020 – today
- 2024
[j65]Akira Ito
, Shun-ichi Azuma:
Autonomous distributed braking and driving force control architecture based on broadcast control for vehicles with in-wheel motors on four wheels. Adv. Robotics 38(9-10): 672-683 (2024)- [j64]Takumi Iwata, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai:
Data Informativity for Distributed Positive Stabilization. IEEE Control. Syst. Lett. 8: 826-831 (2024) - [j63]Keitaro Tsuji, Shun-ichi Azuma, Ikumi Banno, Ryo Ariizumi, Toru Asai, Jun-ichi Imura:
A Small-Data Solution to Data-Driven Lyapunov Equations: Data Reduction from O(n2) to O(n). IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(5): 806-812 (2024) - [j62]Shun-ichi Azuma, Dai Takakura, Ryo Ariizumi, Toru Asai:
Networks of Classical Conditioning Gates and Their Learning. New Gener. Comput. 42(2): 203-216 (2024) - [j61]Shiyong Zhu, Jinde Cao, Lin Lin, James Lam, Shun-ichi Azuma:
Toward Stabilizable Large-Scale Boolean Networks by Controlling the Minimal Set of Nodes. IEEE Trans. Autom. Control. 69(1): 174-188 (2024) - [j60]Lin Lin, Jinde Cao, James Lam, Shiyong Zhu, Shun-ichi Azuma, Leszek Rutkowski:
Leader-Follower Consensus Over Finite Fields. IEEE Trans. Autom. Control. 69(7): 4718-4725 (2024) - [j59]Shuhei Sugiura, Ryo Ariizumi, Toru Asai, Shun-ichi Azuma:
Nonessentiality of Reservoir's Fading Memory for Universality of Reservoir Computing. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16801-16815 (2024) - [i3]Shuhei Sugiura, Ryo Ariizumi, Masaya Tanemura, Toru Asai, Shun-ichi Azuma:
Data-driven Estimation of the Algebraic Riccati Equation for the Discrete-Time Inverse Linear Quadratic Regulator Problem. CoRR abs/2402.06180 (2024) - 2023
- [j58]Shuntaro Takekuma, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai:
Consensus Control of Multi-Hopping-Rover Systems: Convergence Analysis. IEEE Access 11: 36176-36183 (2023) - [j57]Fangyuan Xu, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai:
Performance Limitation of Group Testing in Network Failure Detection. IEEE Access 11: 102852-102859 (2023) - [j56]Daiki Sugiyama, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai:
Relation between leader-follower consensus control and feedback vertex sets. Adv. Robotics 37(1-2): 37-45 (2023) - [j55]Kazunori Sakakibara, Ryo Ariizumi, Toru Asai, Shun-ichi Azuma:
Path tracking control of a snake robot with a passive joint. Adv. Robotics 37(7): 447-457 (2023) - [j54]Ikumi Banno, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai, Jun-ichi Imura:
Data Informativity for Lyapunov Equations. IEEE Control. Syst. Lett. 7: 2365-2370 (2023) - [j53]Shuntaro Takekuma, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai:
Optimal Movement for SLAM by Hopping Rover. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106(5): 715-720 (2023) - [j52]Shiyong Zhu, Jianquan Lu, Shun-ichi Azuma, Wei Xing Zheng:
Strong Structural Controllability of Boolean Networks: Polynomial-Time Criteria, Minimal Node Control, and Distributed Pinning Strategies. IEEE Trans. Autom. Control. 68(9): 5461-5476 (2023) - [c67]Masafumi Yamakawa, Toru Asai, Ryo Ariizumi, Shun-ichi Azuma:
Condition for Sensitivity Unidentifiability of Linear Systems with Affinely Parameter-Dependent Coefficient Matrices. CDC 2023: 665-670 - [c66]Shiyong Zhu, Jianquan Lu, Jinde Cao, Lin Lin, James Lam, Michael Ng, Shun-ichi Azuma:
Undetectable Attacks on Boolean Networks. CDC 2023: 1698-1703 - [c65]Daiki Sugiyama, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai:
Consensus Control Driven by Value Exchange. CDC 2023: 6430-6435 - [c64]Masafumi Yamakawa, Toru Asai, Ryo Ariizumi, Shun-ichi Azuma:
Local Unidentifiability of EdgeWeights for Linear Systems with Graph Laplacian. SICE 2023: 500-503 - [c63]Shuhei Sugiura, Ryo Ariizumi, Masaya Tanemura, Toru Asai, Shun-ichi Azuma:
Data-driven Estimation of Algebraic Riccati Equation for Inverse Linear Quadratic Regulator Problem. SICE 2023: 1046-1051 - [c62]Ryo Ariizumi, Hayato Sago, Toru Asai, Shun-ichi Azuma:
Multi-objective Reinforcement Learning with Path Integral Policy Improvement. SICE 2023: 1418-1423 - [i2]Shun-ichi Azuma, Dai Takakura, Ryo Ariizumi, Toru Asai:
Networks of Classical Conditioning Gates and Their Learning. CoRR abs/2312.15161 (2023) - 2022
- [j51]Ryo Ariizumi, Yasuhiro Imagawa, Toru Asai, Shun-ichi Azuma:
Port-controlled Hamiltonian based control of snake robots. Artif. Life Robotics 27(2): 255-263 (2022) - [j50]Koki Harada, Ryo Ariizumi, Motoyasu Tanaka, Toru Asai, Shun-ichi Azuma:
Head trajectory tracking control of an extendable snake-like robot. Artif. Life Robotics 27(2): 316-323 (2022) - [j49]Shun-ichi Azuma:
Structural Equilibrium Control of Network Systems. IEEE Trans. Autom. Control. 67(7): 3621-3626 (2022) - [c61]Fangyuan Xu, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai:
Minimum Number of Measurements in Enhanced Group Testing for Failure-edge Detection in Networks. ASCC 2022: 1822-1827 - [c60]Ikumi Banno, Shunichi Azuma, Ryo Ariizumi, Toru Asai, Jun-ichi Imura:
Data-driven Sensitivity Analysis of Controllability Measure for Network Systems. CDC 2022: 4098-4103 - [c59]Hiroyasu Nakano, Ryo Ariizumi, Toru Asai, Shun-ichi Azuma:
Model Estimation Ensuring Passivity by Using Port-Hamiltonian Model and Deep Learning. SICE 2022: 886-891 - [e1]Fumitoshi Matsuno, Shun-ichi Azuma, Masahito Yamamoto:
Distributed Autonomous Robotic Systems - 15th International Symposium, DARS 2021, June 1-4, 2021, Online Event. Springer Proceedings in Advanced Robotics 22, Springer 2022, ISBN 978-3-030-92789-9 [contents] - 2021
- [j48]Shun-ichi Azuma:
Foreword. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(2): 422 (2021) - [j47]Kazuhiro Sato, Shun-ichi Azuma:
Analysis and Design of Aggregate Demand Response Systems Based on Controllability. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(6): 940-948 (2021) - [j46]Shun-ichi Azuma, Masaaki Nagahara:
Majority Determination in Binary-Valued Communication Networks. IEEE Trans. Control. Netw. Syst. 8(2): 838-846 (2021) - [j45]Md. Abdus Samad Kamal, Chee Pin Tan, Tomohisa Hayakawa, Shun-ichi Azuma, Jun-ichi Imura:
Control of Vehicular Traffic at an Intersection Using a Cyber-Physical Multiagent Framework. IEEE Trans. Ind. Informatics 17(9): 6230-6240 (2021) - [c58]Ikumi Banno, Shunichi Azuma, Ryo Ariizumi, Toru Asai:
Data-Driven Sparse Event-Triggered Control of Unknown Systems. ACC 2021: 3392-3397 - [c57]Ikumi Banno, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai, Jun-ichi Imura:
Data-driven Estimation and Maximization of Controllability Gramians. CDC 2021: 5053-5058 - [c56]Ikumi Banno, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai, Jun-ichi Imura:
Data-driven Estimation of Finite-time Controllability Gramians. SICE 2021: 666-670 - 2020
- [j44]Shinsaku Izumi, Shun-ichi Azuma, Toshiharu Sugie:
Analysis and Design of Multi-Agent Systems in Spatial Frequency Domain: Application to Distributed Spatial Filtering in Sensor Networks. IEEE Access 8: 34909-34918 (2020) - [j43]Shinsaku Izumi, Shun-ichi Azuma, Toshiharu Sugie:
Multi-Robot Control Inspired by Bacterial Chemotaxis: Coverage and Rendezvous via Networking of Chemotaxis Controllers. IEEE Access 8: 124172-124184 (2020) - [j42]Fangyuan Xu, Ryo Ariizumi, Shun-ichi Azuma, Toru Asai:
Tamper-resistant controller using neural network and time-varying quantization. Artif. Life Robotics 25(4): 596-602 (2020) - [j41]Yuji Ito, Md. Abdus Samad Kamal, Takayoshi Yoshimura, Shun-ichi Azuma:
Pseudo-perturbation-based broadcast control of multi-agent systems. Autom. 113: 108769 (2020) - [j40]Shinsaku Izumi, Shun-ichi Azuma:
Chemotaxis-Inspired Control for Multi-Agent Coordination: Formation Control by Two Types of Chemotaxis Controllers. New Gener. Comput. 38(2): 303-324 (2020) - [j39]Shun-ichi Azuma, Toshimitsu Kure, Toshiharu Sugie:
Structural Bistability Analysis of Flower-Shaped and Chain-Shaped Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 2098-2106 (2020) - [j38]Shun-ichi Azuma, Daisuke Sato, Koichi Kobayashi, Nobuyuki Yamaguchi:
Detection of Defaulting Participants of Demand Response Based on Sparse Reconstruction. IEEE Trans. Smart Grid 11(1): 368-378 (2020) - [c55]Kanami Iijima, Masaya Tanemura, Shun-ichi Azuma, Yuichi Chida:
Reduction in the Amount of Data for Data-driven Passivity Estimation. CCTA 2020: 134-139 - [c54]Shun-ichi Azuma:
Structural Equilibrium Control of Network Systems. CDC 2020: 1116-1121 - [c53]Mitsunori Sakai, Toru Asai, Ryo Ariizumi, Shun-ichi Azuma:
LMI-Based Stability Analysis and Controller Design for Periodic Linear Time-Varying Systems. CDC 2020: 4640-4645 - [c52]Mitsunori Sakai, Toru Asai, Ryo Ariizumi, Shun-ichi Azuma:
An LMI-Based Stability Analysis of Periodic Linear Time-Varying Systems: For General Cases Involving Higher Harmonic Frequencies. SICE 2020: 1236-1240 - [c51]Masafumi Yamakawa, Toru Asai, Ryo Ariizumi, Shun-ichi Azuma:
Parameter Dependent Model Based on Linkages for State, Parameter and Input Estimation Method. SICE 2020: 1696-1701 - [i1]Shiyong Zhu, Jianquan Lu, Shun-ichi Azuma:
Pinning Controllability of Boolean Networks: Application to Large-Scale Genetic Networks. CoRR abs/2007.00171 (2020)
2010 – 2019
- 2019
- [j37]Masaya Tanemura, Shun-ichi Azuma:
Efficient Data-Driven Estimation of Passivity Properties. IEEE Control. Syst. Lett. 3(2): 398-403 (2019) - [j36]Kazunori Sakurama, Shun-ichi Azuma, Toshiharu Sugie:
Multiagent Coordination Via Distributed Pattern Matching. IEEE Trans. Autom. Control. 64(8): 3210-3225 (2019) - [j35]Shun-ichi Azuma, Takahiro Yoshida, Toshiharu Sugie:
Structural Oscillatority Analysis of Boolean Networks. IEEE Trans. Control. Netw. Syst. 6(2): 464-473 (2019) - [j34]Shun-ichi Azuma, Toshimitsu Kure, Takahiro Yoshida, Toshiharu Sugie:
Cactus-Expandable Graphs. IEEE Trans. Control. Netw. Syst. 6(2): 775-788 (2019) - [j33]Dinh Hoa Nguyen, Shun-ichi Azuma, Toshiharu Sugie:
Novel Control Approaches for Demand Response With Real-Time Pricing Using Parallel and Distributed Consensus-Based ADMM. IEEE Trans. Ind. Electron. 66(10): 7935-7945 (2019) - [j32]Kazuhiro Sato, Shun-ichi Azuma:
Secure Real-Time Control Through Fog Computation. IEEE Trans. Ind. Informatics 15(2): 1017-1026 (2019) - [j31]Kodai Miyazaki, Koichi Kobayashi, Shun-ichi Azuma, Nobuyuki Yamaguchi, Yuh Yamashita:
Design and Value Evaluation of Demand Response Based on Model Predictive Control. IEEE Trans. Ind. Informatics 15(8): 4809-4818 (2019) - [j30]Yuji Ito, Md. Abdus Samad Kamal, Takayoshi Yoshimura, Shun-ichi Azuma:
Coordination of Connected Vehicles on Merging Roads Using Pseudo-Perturbation-Based Broadcast Control. IEEE Trans. Intell. Transp. Syst. 20(9): 3496-3512 (2019) - [c50]Hongyuan Sun, Toru Asai, Ryo Ariizumi, Shunichi Azuma:
Model Matching for MIMO Reference Models with Time Varying Parameter. ASCC 2019: 185-190 - [c49]Masaya Tanemura, Shun-ichi Azuma:
Closed-Loop Data-Driven Estimation on Passivity Property. CCTA 2019: 630-634 - [c48]Shun-ichi Azuma, Masaaki Nagahara:
Majority Determination on Binary-valued Communication Networks. CDC 2019: 885-889 - [c47]Masaya Tanemura, Shun-ichi Azuma:
Data-Driven Output Channel Design for Maximizing Passivity Index. CDC 2019: 6646-6650 - [c46]Muhammad Iqbal, Shun-ichi Azuma, John Leth, Trung Dung Ngo:
Circular and Concentric Formation of Kinematic Unicycles. ICRA 2019: 1-6 - 2018
- [j29]Kazunori Sakurama, Shun-ichi Azuma, Toshiharu Sugie:
Multi-Agent Coordination to High-Dimensional Target Subspaces. IEEE Trans. Control. Netw. Syst. 5(1): 345-358 (2018) - [j28]Shinsaku Izumi, Shun-ichi Azuma:
Real-Time Pricing by Data Fusion on Networks. IEEE Trans. Ind. Informatics 14(3): 1175-1185 (2018) - [c45]Yuji Ito, Md. Abdus Samad Kamal, Takayoshi Yoshimura, Shun-ichi Azuma:
On Pseudo-perturbation-based Broadcast Control of Multi-agent Systems. ACC 2018: 2877-2882 - [c44]Yuji Ito, Md. Abdus Samad Kamal, Takayoshi Yoshimura, Shun-ichi Azuma:
Multi-vehicle Coordination on Merging Roads Based on Pseudo-perturbation-based Broadcast Control. ACC 2018: 4008-4013 - 2017
- [j27]Kazuhiro Sato, Shun-ichi Azuma:
Controllability Analysis of Aggregate Demand Response System in Multiple Price-Change Situation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(2): 376-384 (2017) - [j26]Ryo Takahashi, Shun-ichi Azuma, Mikio Hasegawa, Hiroyasu Ando, Takashi Hikihara:
Power Processing for Advanced Power Distribution and Control. IEICE Trans. Commun. 100-B(6): 941-947 (2017) - [j25]Brian D. O. Anderson, Zhiyong Sun, Toshiharu Sugie, Shun-ichi Azuma, Kazunori Sakurama:
Formation shape control with distance and area constraints. IFAC J. Syst. Control. 1: 2-12 (2017) - [j24]Shun-ichi Azuma, Takahiro Yoshida, Toshiharu Sugie:
Structural Monostability of Activation-Inhibition Boolean Networks. IEEE Trans. Control. Netw. Syst. 4(2): 179-190 (2017) - [c43]Brian D. O. Anderson, Zhiyong Sun, Toshiharu Sugie, Shun-ichi Azuma, Kazunori Sakurama:
Distance-based rigid formation control with signed area constraints. CDC 2017: 2830-2835 - [c42]Kazuhiro Sato, Shun-ichi Azuma:
Privacy input design for concealing transient output of linear SISO systems. CDC 2017: 3986-3991 - [c41]Shun-ichi Azuma, Toshimitsu Kure, Toshiharu Sugie:
A sufficient condition for cactus-expandability of graphs. CDC 2017: 4394-4397 - [c40]Ichiro Maruta, Tetsuya Yoshikawa, Shun-ichi Azuma, Toshiharu Sugie:
Traffic control at intersection with linear traffic lights. IECON 2017: 2923-2928 - 2016
- [j23]Mohd Ashraf Ahmad, Shun-ichi Azuma, Toshiharu Sugie:
Identification of continuous-time Hammerstein systems by simultaneous perturbation stochastic approximation. Expert Syst. Appl. 43: 51-58 (2016) - [j22]Shun-ichi Azuma, Takahiro Yoshida, Toshiharu Sugie:
Designability of Multi-Attractor Boolean Networks with a Fixed Network Structure. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(1): 423-425 (2016) - [j21]Shinsaku Izumi, Shun-ichi Azuma, Toshiharu Sugie:
Stabilization by controller networks. Syst. Control. Lett. 94: 77-83 (2016) - [j20]Shun-ichi Azuma, Katsuya Owaki, Nobuhiro Shinohara, Toshiharu Sugie:
Performance Analysis of Chemotaxis Controllers: Which has Better Chemotaxis Controller, Escherichia coli or Paramecium caudatum? IEEE ACM Trans. Comput. Biol. Bioinform. 13(4): 730-741 (2016) - [j19]Ryo Takahashi, Shun-ichi Azuma, Takashi Hikihara:
Power Regulation With Predictive Dynamic Quantizer in Power Packet Dispatching System. IEEE Trans. Ind. Electron. 63(12): 7653-7661 (2016) - [c39]Shinsaku Izumi, Shun-ichi Azuma, Toshiharu Sugie:
On a relation between graph signal processing and multi-agent consensus. CDC 2016: 957-961 - [c38]Kazuhiro Sato, Shun-ichi Azuma:
All stabilizing and concealing Gaussian type controllers for linear scalar systems. CDC 2016: 2861-2866 - [c37]Shun-ichi Azuma, Toshimitsu Kure, Toshiharu Sugie:
Structural bistability analysis of Boolean networks. CDC 2016: 4833-4836 - [c36]Kazuhiro Sato, Shun-ichi Azuma:
Controllability of Aggregate Demand Response Systems for Real-Time Pricing. CPSNA 2016: 33-34 - 2015
- [j18]Yuki Minami, Shun-ichi Azuma:
Performance Analysis of Demand Data Modification Mechanism for Power Balancing Control. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 98-A(7): 1562-1564 (2015) - [j17]Kazunori Sakurama, Shun-ichi Azuma, Toshiharu Sugie:
Distributed Controllers for Multi-Agent Coordination Via Gradient-Flow Approach. IEEE Trans. Autom. Control. 60(6): 1471-1485 (2015) - [c35]Kazuhiro Sato, Shun-ichi Azuma:
A controller design method for unidentifiable linear SISO systems. ASCC 2015: 1-6 - [c34]Yuki Minami, Shun-ichi Azuma:
Prediction governors: Optimal solutions and application to electric power balancing control. CDC 2015: 1126-1129 - [c33]Shun-ichi Azuma, Takahiro Yoshida, Toshiharu Sugie:
Structural oscillatority analysis of Boolean networks. CDC 2015: 2865-2868 - [c32]Kazunori Sakurama, Shun-ichi Azuma, Toshiharu Sugie:
Distributed control of networked multi-agent systems for high-dimensional coordination. CDC 2015: 5613-5616 - [c31]Shun-ichi Azuma, Tsuyoshi Nakamoto, Shinsaku Izumi, Taichi Kitao, Ichiro Maruta:
Randomized automated demand response for real-time pricing. ISGT 2015: 1-5 - 2014
- [j16]Mohd Ashraf Ahmad, Shun-ichi Azuma, Toshiharu Sugie:
Performance analysis of model-free PID tuning of MIMO systems based on simultaneous perturbation stochastic approximation. Expert Syst. Appl. 41(14): 6361-6370 (2014) - [j15]Shun-ichi Azuma, George J. Pappas:
Discrete Abstraction of Stochastic Nonlinear Systems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(2): 452-458 (2014) - [j14]Yosuke Tanaka, Shun-ichi Azuma, Toshiharu Sugie:
Broadcast Control of Multi-Agent Systems with Quantized Measurements. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(3): 830-839 (2014) - [j13]Shun-ichi Azuma, Yosuke Tanaka, Toshiharu Sugie:
Multi-agent consensus under a communication-broadcast mixed environment. Int. J. Control 87(6): 1103-1116 (2014) - [c30]Shun-ichi Azuma, Takahiro Yoshida, Toshiharu Sugie:
Structural monostability of activation-inhibition Boolean networks. CDC 2014: 1521-1526 - [c29]Shinsaku Izumi, Shun-ichi Azuma, Toshiharu Sugie:
Real-time pricing based on networked estimators. CDC 2014: 2441-2446 - [c28]Shinsaku Izumi, Shun-ichi Azuma, Toshiharu Sugie:
Coverage Control Inspired by Bacterial Chemotaxis. SRDS Workshops 2014: 34-39 - 2013
- [j12]Shun-ichi Azuma, Ryota Yoshimura, Toshiharu Sugie:
Broadcast control of multi-agent systems. Autom. 49(8): 2307-2316 (2013) - [j11]Shun-ichi Azuma, Toshiharu Sugie:
Dynamic Quantization of Nonaffine Nonlinear Systems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(10): 1993-1998 (2013) - [c27]Shinsaku Izumi, Shun-ichi Azuma, Toshiharu Sugie:
Stabilization by controller networks. ACC 2013: 2333-2338 - [c26]Ryo Takahashi, Shun-ichi Azuma, Keiji Tashiro, Takashi Hikihara:
Design and experimental verification of power packet generation system for power packet dispatching system. ACC 2013: 4368-4373 - [c25]Shun-ichi Azuma, Katsuya Owaki, Nobuhiro Shinohara, Toshiharu Sugie:
Performance analysis of chemotaxis controllers. CDC 2013: 1411-1416 - [c24]Kazunori Sakurama, Shun-ichi Azuma, Toshiharu Sugie:
Optimal distributed controllers based on gradient-flow method for multi-agent coordination. CDC 2013: 2133-2138 - 2012
- [j10]Shun-ichi Azuma, Toshiharu Sugie:
Dynamic Quantization of Nonlinear Control Systems. IEEE Trans. Autom. Control. 57(4): 875-888 (2012) - [j9]Shun-ichi Azuma, Mahmut Selman Sakar, George J. Pappas:
Stochastic Source Seeking by Mobile Robots. IEEE Trans. Autom. Control. 57(9): 2308-2321 (2012) - [c23]Shinsaku Izumi, Shun-ichi Azuma, Toshiharu Sugie:
Robotic Mass Games by Distributed Hybrid Controllers. ADHS 2012: 339-343 - [c22]Shun-ichi Azuma, Yosuke Tanaka, Toshiharu Sugie:
Multi-agent consensus under communication-broadcast mixed environment. CDC 2012: 94-99 - [c21]Shun-ichi Azuma, Ichiro Baba, Toshiharu Sugie:
Broadcast control of group of Markov chains. CDC 2012: 2059-2064 - [c20]Kazunori Sakurama, Shun-ichi Azuma, Toshiharu Sugie:
Parameterization of all distributed controllers based on gradient-flow method for networked multi-agent systems. CDC 2012: 5465-5470 - 2011
- [c19]Shun-ichi Azuma, Ryota Yoshimura, Toshiharu Sugie:
Broadcast control of multi-agent systems. CDC/ECC 2011: 3590-3595 - 2010
- [j8]Shun-ichi Azuma:
Discussion on: "Stability Analysis of Finite-Level Quantized Discrete-Time Linear Control Systems". Eur. J. Control 16(3): 272-273 (2010) - [j7]Shun-ichi Azuma, Toshiharu Sugie:
Stability analysis of optimally quantised LFT-feedback systems. Int. J. Control 83(6): 1125-1135 (2010) - [c18]Ryosuke Morita, Yuki Minami, Shun-ichi Azuma, Toshiharu Sugie:
ODQLab: A Graphical Software Tool to Design Dynamic Quantizers for Discrete-valued Input Control. CCA 2010: 2356-2361 - [c17]Shun-ichi Azuma, George J. Pappas:
Discrete abstraction of stochastic nonlinear systems: A bisimulation function approach. ACC 2010: 1035-1040 - [c16]Shun-ichi Azuma, Mahmut Selman Sakar, George J. Pappas:
Nonholonomic source seeking in switching random fields. CDC 2010: 6337-6342
2000 – 2009
- 2009
- [c15]Yuki Minami, Shun-ichi Azuma, Toshiharu Sugie:
Optimal decentralized dynamic quantizers for discrete-valued input control: A closed form solution and experimental evaluation. ACC 2009: 4367-4372 - [c14]Shun-ichi Azuma, Toshiharu Sugie:
An analytical solution to dynamic quantization problem of nonlinear control systems. CDC 2009: 3914-3919 - [c13]Rahul Chipalkatty, Magnus Egerstedt, Shun-ichi Azuma:
Multi-pendulum synchronization using constrained agreement protocols. ROBOCOMM 2009: 1-6 - 2008
- [j6]Shun-ichi Azuma, Toshiharu Sugie:
Optimal dynamic quantizers for discrete-valued input control. Autom. 44(2): 396-406 (2008) - [j5]Shun-ichi Azuma, Eriko Yanagisawa, Jun-ichi Imura:
Controllability Analysis of Biosystems Based on Piecewise-Affine Systems Approach. IEEE Trans. Autom. Control. 53: 139-152 (2008) - [j4]Shun-ichi Azuma, Toshiharu Sugie:
Synthesis of Optimal Dynamic Quantizers for Discrete-Valued Input Control. IEEE Trans. Autom. Control. 53(9): 2064-2075 (2008) - [c12]Shun-ichi Azuma, Toshiharu Sugie:
Stability analysis of quantized feedback systems including optimal dynamic quantizers. CDC 2008: 3392-3397 - 2007
- [j3]Shun-ichi Azuma, Jun-ichi Imura:
Polynomial-time probabilistic observability analysis of sampled-data piecewise affine systems. Syst. Control. Lett. 56(11-12): 685-694 (2007) - [j2]Shun-ichi Azuma, Jun-ichi Imura:
Polynomial-Time Probabilistic Controllability Analysis of Discrete-Time Piecewise Affine Systems. IEEE Trans. Autom. Control. 52(11): 2029-2046 (2007) - [c11]Shun-ichi Azuma, Toshiharu Sugie:
An Optimal Dynamic Quantization Scheme for Control With Discrete-Valued Input. ACC 2007: 3576-3581 - [c10]Shun-ichi Azuma, Toshiharu Sugie:
Linear programming based optimal dynamic quantizer synthesis for discrete-valued input control. CDC 2007: 2253-2258 - [c9]Yuki Minami, Shun-ichi Azuma, Toshiharu Sugie:
An optimal dynamic quantizer for feedback control with discrete-valued signal constraints. CDC 2007: 2259-2264 - [c8]Yorai Wardi, Xu Chu Ding, Magnus Egerstedt, Shun-ichi Azuma:
On-line optimization of switched-mode systems: Algorithms and convergence properties. CDC 2007: 5005-5010 - [c7]Yorai Wardi, Xu Chu Ding, Shun-ichi Azuma:
On-Line Optimization of Switched-Mode Hybrid Dynamical Systems. HSCC 2007: 771-774 - 2006
- [j1]Shun-ichi Azuma, Jun-ichi Imura:
Synthesis of optimal controllers for piecewise affine systems with sampled-data switching. Autom. 42(5): 697-710 (2006) - [c6]Shun-ichi Azuma, Jun-ichi Imura, Toshiharu Sugie:
Lebesgue Piecewise Affine Approximation of Nonlinear Systems and Its Application to Hybrid System Modeling of Biosystems. CDC 2006: 2128-2133 - [c5]Shun-ichi Azuma, Magnus Egerstedt, Yorai Wardi:
Output-Based Optimal Timing Control of Switched Systems. HSCC 2006: 64-78 - 2005
- [c4]Shun-ichi Azuma, Jun-ichi Imura:
Polynomial-Time Probabilistic Observability Analysis of Sampled-Data Piecewise Affine Systems. CDC/ECC 2005: 6644-6649 - 2004
- [c3]Shun-ichi Azuma, Jun-ichi Imura:
Probabilistic controllability analysis of sampled-data/discrete-time piecewise affine systems. ACC 2004: 2528-2533 - 2003
- [c2]Shun-ichi Azuma, Jun-ichi Imura:
Controllability of Sampled-Data Piecewise Affine Systems. ADHS 2003: 99-104 - [c1]Shun-ichi Azuma, Jun-ichi Imura:
Optimal control of sampled-data piecewise affine systems and its application to CPU processing control. CDC 2003: 161-166
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-11 22:23 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
