Cooperative and Adaptive Optimal Output Regulation of Discrete-Time Multi-Agent Systems Using Reinforcement Learning

2018 IEEE International Conference on Real-time Computing and Robotics (RCAR) ◽

10.1109/rcar.2018.8621852 ◽

2018 ◽

Author(s):

Weinan Gao ◽

Yiyang Liu ◽

Adedapo Odekunle ◽

Zhong-Ping Jiang ◽

Yunjun Yu ◽

...

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Output Regulation ◽

Multi Agent Systems ◽

Agent Systems ◽

Optimal Output ◽

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Output feedback reinforcement learning based optimal output synchronisation of heterogeneous discrete-time multi-agent systems

IET Control Theory and Applications ◽

10.1049/iet-cta.2018.6266 ◽

2019 ◽

Vol 13 (17) ◽

pp. 2866-2876

Author(s):

Syed Ali Asad Rizvi ◽

Zongli Lin

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Output Feedback ◽

Multi Agent Systems ◽

Agent Systems ◽

Optimal Output ◽

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Cooperative adaptive optimal output regulation of nonlinear discrete-time multi-agent systems

10.1016/j.automatica.2020.109149 ◽

2020 ◽

Vol 121 ◽

pp. 109149

Author(s):

Yi Jiang ◽

Jialu Fan ◽

Weinan Gao ◽

Tianyou Chai ◽

Frank L. Lewis

Keyword(s):

Discrete Time ◽

Output Regulation ◽

Multi Agent Systems ◽

Agent Systems ◽

Optimal Output ◽

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Cooperative output regulation problem of discrete-time linear multi-agent systems with Markov switching topologies

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2020.02.020 ◽

2020 ◽

Vol 357 (8) ◽

pp. 4795-4816

Author(s):

Zili Liu ◽

Weisheng Yan ◽

Huiping Li ◽

Shouxu Zhang

Keyword(s):

Discrete Time ◽

Markov Switching ◽

Output Regulation ◽

Multi Agent Systems ◽

Agent Systems ◽

Switching Topologies ◽

Multi Agent ◽

Cooperative Output Regulation ◽

Output Regulation Problem ◽

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Robust output regulation for containment control of heterogeneous discrete-time nonlinear multi-agent systems

International Journal of Systems Science ◽

10.1080/00207721.2019.1671527 ◽

2019 ◽

Vol 50 (13) ◽

pp. 2459-2472

Author(s):

Shaobao Li ◽

Tingting Ma ◽

Xiaoyuan Luo ◽

Zhenyu Yang

Keyword(s):

Discrete Time ◽

Output Regulation ◽

Multi Agent Systems ◽

Containment Control ◽

Agent Systems ◽

Multi Agent ◽

Robust Output Regulation

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Cooperative robust output regulation for heterogeneous second-order discrete-time multi-agent systems

Neurocomputing ◽

10.1016/j.neucom.2015.04.009 ◽

2015 ◽

Vol 162 ◽

pp. 41-47 ◽

Author(s):

Hongjing Liang ◽

Huaguang Zhang ◽

Zhanshan Wang ◽

Junyi Wang

Keyword(s):

Discrete Time ◽

Output Regulation ◽

Second Order ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Robust Output Regulation

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Cooperative robust output regulation problem for discrete-time linear time-delay multi-agent systems

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.3917 ◽

2017 ◽

Vol 28 (3) ◽

pp. 1035-1048 ◽

Author(s):

Yamin Yan ◽

Jie Huang

Keyword(s):

Discrete Time ◽

Linear Time ◽

Output Regulation ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Robust Output Regulation ◽

Output Regulation Problem ◽

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Cooperative output regulation of discrete-time linear time-delay multi-agent systems

2016 35th Chinese Control Conference (CCC) ◽

10.1109/chicc.2016.7554579 ◽

2016 ◽

Author(s):

Yamin Yan ◽

Jie Huang

Keyword(s):

Discrete Time ◽

Linear Time ◽

Output Regulation ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Cooperative Output Regulation ◽

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Adaptive cooperative output regulation of discrete-time linear multi-agent systems by a distributed feedback control law

2017 American Control Conference (ACC) ◽

10.23919/acc.2017.7963028 ◽

2017 ◽

Author(s):

Tao Liu ◽

Jie Huang

Keyword(s):

Feedback Control ◽

Discrete Time ◽

Output Regulation ◽

Distributed Feedback ◽

Control Law ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

Cooperative Output Regulation ◽

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Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2016.2542134 ◽

2017 ◽

Vol 64 (5) ◽

pp. 4091-4100 ◽

Author(s):

Huaguang Zhang ◽

He Jiang ◽

Yanhong Luo ◽

Geyang Xiao

Keyword(s):

Reinforcement Learning ◽

Discrete Time ◽

Data Driven ◽

Learning Method ◽

Multi Agent Systems ◽

Consensus Control ◽

Agent Systems ◽

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Optimal output regulation for heterogeneous descriptor multi-agent systems

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2020.12.008 ◽

2020 ◽

Author(s):

Liping Zhang ◽

Guoshan Zhang

Keyword(s):

Output Regulation ◽

Multi Agent Systems ◽

Agent Systems ◽

Optimal Output ◽

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