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Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning

Lina Xia Qing Li Ruizhuo Song Hamidreza Modares

自动化学报（英文版）2022，Vol.9Issue(3)：520-532,13.

自动化学报（英文版）2022，Vol.9Issue(3)：520-532,13.DOI:10.1109/JAS.2021.1004359

Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning

Lina Xia ¹Qing Li ¹Ruizhuo Song ¹Hamidreza Modares²

作者信息

1. Beijing Engineering Research Center of Industrial Spectrum Imaging,School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China
2. Department of Mechanical Engineering,Michigan State University,East Lansing,MI 48824 USA
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摘要

关键词

Asymmetric input-constrained/heterogeneous nonlinear multiagent systems (MASs)/Hamilton-Jacobi-Bellman (HJB) equation/novel observer/reinforcement learning (RL)

Key words

Asymmetric input-constrained/heterogeneous nonlinear multiagent systems (MASs)/Hamilton-Jacobi-Bellman (HJB) equation/novel observer/reinforcement learning (RL)

引用本文复制引用

Lina Xia,Qing Li,Ruizhuo Song,Hamidreza Modares..Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning[J].自动化学报（英文版）,2022,9(3):520-532,13.

基金项目

This work was supported in part by the National Natural Science Foundation of China(61873300,61722312),the Fundamental Research Funds for the Central Universities(FRF-MP-20-11),and Interdisciplinary Research Project for Young Teachers of University of Science and Technology Beijing(Fundamental Research Funds for the Central Universities)(FRFIDRY-20-030). （61873300,61722312）

自动化学报（英文版）

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