中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Cooperative and Adaptive Optimal Output Regulation of Discrete-time Multi-agent Systems Using Reinforcement Learning

文献类型:会议论文

作者Jiang, Zhongping5; Odekunle, Adedapo3; Liu YY(刘意杨)4; Gao WN(高伟男)3; Lu PL(路平立)2; Yu YJ(余运俊)1
出版日期2018
会议日期August 1-5, 2018
会议地点Kandima, Maldives
页码348-353
英文摘要This paper proposes an original data-driven intelligent control solution to the cooperative output regulation problem of discrete-time multi-agent systems. Based on the combination of internal model principle and reinforcement learning, a distributed suboptimal controller is learned real-time via online input-state data collected from system trajectories. Rigorous theoretical analysis guarantees the convergence of the proposed algorithm and the asymptotic stability of the closed-loop system. Numerical results validate the effectiveness of the proposed control methodology.
源文献作者IEEE ; IEEE Robot & Automat Soc
产权排序2
会议录Proceedings of the 2018 IEEE International Conference on Real-time Computing and Robotics
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-5386-6869-6
WOS记录号WOS:000459211400059
源URL[http://ir.sia.cn/handle/173321/24238]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Gao WN(高伟男)
作者单位1.Department of Electrical and Automation Engineering, Information Engineering School, Nanchang University, 330029, China
2.School of Automation, Beijing Institute of Technology, 100081, China
3.Department of Electrical Engineering, Allen E. Paulson College of Engineering and Information Technology, Georgia Southern University, Statesboro, GA, 30460 USA
4.Shenyang Institute of Automation, Chinese Academy of Sciences, 110016 China.
5.Department of Electrical and Computer Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, 11201 USA
推荐引用方式
GB/T 7714
Jiang, Zhongping,Odekunle, Adedapo,Liu YY,et al. Cooperative and Adaptive Optimal Output Regulation of Discrete-time Multi-agent Systems Using Reinforcement Learning[C]. 见:. Kandima, Maldives. August 1-5, 2018.

入库方式: OAI收割

来源:沈阳自动化研究所

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