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![]() |
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
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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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