Optimal output synchronization of nonlinear multi-agent systems using approximate dynamic programming

2016 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2016.7727751 ◽

2016 ◽

Author(s):

Hamidreza Modares ◽

Frank L. Lewis ◽

Ali Davoudi

Keyword(s):

Dynamic Programming ◽

Approximate Dynamic Programming ◽

Multi Agent Systems ◽

Agent Systems ◽

Optimal Output ◽

Output Synchronization ◽

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Optimal output synchronization of heterogeneous multi-agent systems using measured input-output data

Information Sciences ◽

10.1016/j.ins.2021.08.044 ◽

2021 ◽

Author(s):

Yingying Liu ◽

Zhanshan Wang

Keyword(s):

Multi Agent Systems ◽

Input Output ◽

Output Data ◽

Agent Systems ◽

Optimal Output ◽

Output Synchronization ◽

Multi Agent ◽

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Off-policy learning for adaptive optimal output synchronization of heterogeneous multi-agent systems

10.1016/j.automatica.2020.109081 ◽

2020 ◽

Vol 119 ◽

pp. 109081

Author(s):

Ci Chen ◽

Frank L. Lewis ◽

Kan Xie ◽

Shengli Xie ◽

Yilu Liu

Keyword(s):

Policy Learning ◽

Multi Agent Systems ◽

Agent Systems ◽

Optimal Output ◽

Output Synchronization ◽

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Model-Free Cooperative Control for Multi-Agent Systems Using the Approximate Dynamic Programming Approach

IEEE Access ◽

10.1109/access.2018.2849754 ◽

2018 ◽

Vol 6 ◽

pp. 37195-37203 ◽

Author(s):

Yanhua Qu ◽

Anna Wang ◽

Jinglu Liu

Keyword(s):

Dynamic Programming ◽

Cooperative Control ◽

Approximate Dynamic Programming ◽

Programming Approach ◽

Multi Agent Systems ◽

Agent Systems ◽

Dynamic Programming Approach ◽

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Cooperative optimal output regulation of multi-agent systems using adaptive dynamic programming

2017 American Control Conference (ACC) ◽

10.23919/acc.2017.7963356 ◽

2017 ◽

Author(s):

Weinan Gao ◽

Zhong-Ping Jiang ◽

Frank L. Lewis ◽

Yebin Wang

Keyword(s):

Dynamic Programming ◽

Output Regulation ◽

Adaptive Dynamic Programming ◽

Multi Agent Systems ◽

Agent Systems ◽

Adaptive Dynamic ◽

Optimal Output ◽

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Optimal Consensus Control of Unknown Nonlinear Multi-Agent Systems Using Adaptive Dynamic Programming via MRAC

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8482957 ◽

2018 ◽

Author(s):

Hao Fu ◽

Xin Chen ◽

Wei Wang ◽

Jinbin Li ◽

Yaodong Zhang

Keyword(s):

Dynamic Programming ◽

Adaptive Dynamic Programming ◽

Multi Agent Systems ◽

Consensus Control ◽

Agent Systems ◽

Adaptive Dynamic ◽

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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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Generalized output synchronization of heterogeneous linear multi-agent systems

2017 21st International Conference on Process Control (PC) ◽

10.1109/pc.2017.7976179 ◽

2017 ◽

Author(s):

Kristian Hengster Movric ◽

Michael Sebek

Keyword(s):

Multi Agent Systems ◽

Agent Systems ◽

Output Synchronization ◽

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Data-Driven Cooperative Output Regulation of Multi-Agent Systems via Robust Adaptive Dynamic Programming

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2018.2849639 ◽

2019 ◽

Vol 66 (3) ◽

pp. 447-451 ◽

Author(s):

Weinan Gao ◽

Yu Jiang ◽

Masoud Davari

Keyword(s):

Dynamic Programming ◽

Output Regulation ◽

Adaptive Dynamic Programming ◽

Data Driven ◽

Multi Agent Systems ◽

Agent Systems ◽

Adaptive Dynamic ◽

Multi Agent ◽

Robust Adaptive ◽

Cooperative Output Regulation

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Low Complexity Robust Output Synchronization Protocol with Prescribed Performance for High-order Heterogeneous Uncertain MIMO Nonlinear Multi-agent Systems

IEEE Transactions on Automatic Control ◽

10.1109/tac.2021.3096803 ◽

2021 ◽

pp. 1-1

Author(s):

Ilias Katsoukis ◽

George A. Rovithakis

Keyword(s):

Low Complexity ◽

Multi Agent Systems ◽

Prescribed Performance ◽

Agent Systems ◽

Output Synchronization ◽

Multi Agent ◽

Synchronization Protocol

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Distributed optimal consensus control for nonlinear multi-agent systems with input saturation based on event-triggered adaptive dynamic programming method

International Journal of Control ◽

10.1080/00207179.2020.1790663 ◽

2020 ◽

pp. 1-13

Author(s):

Zhengqing Shi ◽

Chuan Zhou

Keyword(s):

Dynamic Programming ◽

Input Saturation ◽

Adaptive Dynamic Programming ◽

Dynamic Programming Method ◽

Multi Agent Systems ◽

Consensus Control ◽

Agent Systems ◽

Adaptive Dynamic ◽

Multi Agent ◽

Event Triggered

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