Distributed Fault-Tolerant Containment Control Protocols for the Discrete-Time Multiagent Systems via Reinforcement Learning Method

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3121403 ◽

2021 ◽

pp. 1-13

Author(s):

Tieshan Li ◽

Weiwei Bai ◽

Qi Liu ◽

Yue Long ◽

C. L. Philip Chen

Keyword(s):

Reinforcement Learning ◽

Multiagent Systems ◽

Discrete Time ◽

Fault Tolerant ◽

Learning Method ◽

Containment Control ◽

Control Protocols

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Model-Free Algorithms for Containment Control of Saturated Discrete-Time Multiagent Systems via Q-Learning Method

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2020.3019504 ◽

2020 ◽

pp. 1-9

Author(s):

Mingkang Long ◽

Housheng Su ◽

Zhigang Zeng

Keyword(s):

Multiagent Systems ◽

Discrete Time ◽

Learning Method ◽

Containment Control ◽

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Adaptive Fault-Tolerant Tracking Control for Discrete-Time Multiagent Systems via Reinforcement Learning Algorithm

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.2982168 ◽

2020 ◽

pp. 1-12 ◽

Author(s):

Hongyi Li ◽

Ying Wu ◽

Mou Chen

Keyword(s):

Reinforcement Learning ◽

Multiagent Systems ◽

Discrete Time ◽

Tracking Control ◽

Fault Tolerant ◽

Learning Algorithm ◽

Reinforcement Learning Algorithm

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Fault-Tolerant Containment Control for IT2 Fuzzy Networked Multiagent Systems Against Denial-of-Service Attacks and Actuator Faults

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2020.3048999 ◽

2021 ◽

pp. 1-12

Author(s):

Zhenxing Zhang ◽

Jiuxiang Dong

Keyword(s):

Multiagent Systems ◽

Fault Tolerant ◽

Denial Of Service ◽

Denial Of Service Attacks ◽

Actuator Faults ◽

Containment Control ◽

Networked Multiagent Systems

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Fault-tolerant optimised tracking control for unknown discrete-time linear systems using a combined reinforcement learning and residual compensation methodology

International Journal of Systems Science ◽

10.1080/00207721.2017.1344890 ◽

2017 ◽

Vol 48 (13) ◽

pp. 2811-2825 ◽

Author(s):

Ke-Zhen Han ◽

Jian Feng ◽

Xiaohong Cui

Keyword(s):

Reinforcement Learning ◽

Linear Systems ◽

Discrete Time ◽

Tracking Control ◽

Fault Tolerant ◽

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Solver-Critic: A Reinforcement Learning Method for Discrete-Time-Constrained-Input Systems

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.2978088 ◽

2020 ◽

pp. 1-12

Author(s):

Xin Yuan ◽

Lu Dong ◽

Changyin Sun

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Learning Method ◽

Constrained Input

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General Second-Order Consensus of Discrete-Time Multiagent Systems via Q-Learning Method

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2020.3019519 ◽

2020 ◽

pp. 1-9

Author(s):

Yifan Liu ◽

Housheng Su

Keyword(s):

Multiagent Systems ◽

Discrete Time ◽

Second Order ◽

Learning Method ◽

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Distributed Adaptive Fuzzy Fault-Tolerant Containment Control for Heterogeneous Nonlinear Multiagent Systems

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2020.3002944 ◽

2020 ◽

pp. 1-12

Author(s):

Shuyi Xiao ◽

Jiuxiang Dong

Keyword(s):

Multiagent Systems ◽

Fault Tolerant ◽

Containment Control ◽

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Fault-Tolerant Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems via Online Reinforcement Learning Algorithm

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2015.2478885 ◽

2016 ◽

Vol 46 (5) ◽

pp. 611-622 ◽

Author(s):

Zhanshan Wang ◽

Lei Liu ◽

Huaguang Zhang ◽

Geyang Xiao

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Controller Design ◽

Fault Tolerant ◽

Learning Algorithm ◽

Discrete Time Systems ◽

Time Systems ◽

Reinforcement Learning Algorithm

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Optimal tracking control for completely unknown nonlinear discrete-time Markov jump systems using data-based reinforcement learning method

Neurocomputing ◽

10.1016/j.neucom.2016.02.029 ◽

2016 ◽

Vol 194 ◽

pp. 176-182 ◽

Author(s):

He Jiang ◽

Huaguang Zhang ◽

Yanhong Luo ◽

Junyi Wang

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Tracking Control ◽

Learning Method ◽

Markov Jump ◽

Markov Jump Systems ◽

Optimal Tracking ◽

Optimal Tracking Control ◽

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Output-Feedback Global Consensus of Discrete-Time Multiagent Systems Subject to Input Saturation via Q-Learning Method

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.2987385 ◽

2020 ◽

pp. 1-10

Author(s):

Mingkang Long ◽

Housheng Su ◽

Zhigang Zeng

Keyword(s):

Multiagent Systems ◽

Discrete Time ◽

Output Feedback ◽

Input Saturation ◽

Learning Method ◽

Global Consensus

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