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Shun-ichi Azuma
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
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
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
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
Consensus Control of Multi-Hopping-Rover Systems: Convergence Analysis. IEEE Access 11: 36176-36183 (2023) - [j57]Fangyuan Xu
Performance Limitation of Group Testing in Network Failure Detection. IEEE Access 11: 102852-102859 (2023) - [j56]Daiki Sugiyama, Shun-ichi Azuma, Ryo Ariizumi
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
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
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
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
Port-controlled Hamiltonian based control of snake robots. Artif. Life Robotics 27(2): 255-263 (2022) - [j50]Koki Harada, Ryo Ariizumi
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
Majority Determination in Binary-Valued Communication Networks. IEEE Trans. Control. Netw. Syst. 8(2): 838-846 (2021) - [j45]Md. Abdus Samad Kamal
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
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
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
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
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
Pseudo-perturbation-based broadcast control of multi-agent systems. Autom. 113: 108769 (2020) - [j40]Shinsaku Izumi
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
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
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
Efficient Data-Driven Estimation of Passivity Properties. IEEE Control. Syst. Lett. 3(2): 398-403 (2019) - [j36]Kazunori Sakurama
Multiagent Coordination Via Distributed Pattern Matching. IEEE Trans. Autom. Control. 64(8): 3210-3225 (2019) - [j35]Shun-ichi Azuma
Structural Oscillatority Analysis of Boolean Networks. IEEE Trans. Control. Netw. Syst. 6(2): 464-473 (2019) - [j34]Shun-ichi Azuma
Cactus-Expandable Graphs. IEEE Trans. Control. Netw. Syst. 6(2): 775-788 (2019) - [j33]Dinh Hoa Nguyen
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
Secure Real-Time Control Through Fog Computation. IEEE Trans. Ind. Informatics 15(2): 1017-1026 (2019) - [j31]Kodai Miyazaki, Koichi Kobayashi
Design and Value Evaluation of Demand Response Based on Model Predictive Control. IEEE Trans. Ind. Informatics 15(8): 4809-4818 (2019) - [j30]Yuji Ito
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
Circular and Concentric Formation of Kinematic Unicycles. ICRA 2019: 1-6 - 2018
- [j29]Kazunori Sakurama
Multi-Agent Coordination to High-Dimensional Target Subspaces. IEEE Trans. Control. Netw. Syst. 5(1): 345-358 (2018) - [j28]Shinsaku Izumi
Real-Time Pricing by Data Fusion on Networks. IEEE Trans. Ind. Informatics 14(3): 1175-1185 (2018) - [c45]Yuji Ito, Md. Abdus Samad Kamal
On Pseudo-perturbation-based Broadcast Control of Multi-agent Systems. ACC 2018: 2877-2882 - [c44]Yuji Ito, Md. Abdus Samad Kamal
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
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
Traffic control at intersection with linear traffic lights. IECON 2017: 2923-2928 - 2016
- [j23]Mohd Ashraf Ahmad
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
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
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
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
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
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
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
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
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
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
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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