Adaptive Optimal Output Regulation of Continuous-Time Linear Systems via Internal Model Principle
文献类型：会议论文
| 作者 | Gao WN(高伟男)1; Liu YY(刘意杨)2,3
|
| 出版日期 | 2018 |
| 会议日期 | November 8-10, 2018 |
| 会议地点 | New York, USA |
| 页码 | 38-43 |
| 英文摘要 | This paper proposes a novel adaptive optimal control approach for output regulation problems of continuous-time linear systems. An internal model is introduced for the sake of controller design. The proposed approach is based on reinforcement learning, which does not rely on the accurate knowledge of system dynamics. The optimal controller for the system incorporating with the internal model is approximated using online input and state data. Simulation results demonstrate the effectiveness of the proposed approach. |
| 产权排序 | 1 |
| 会议录 | 2018 9th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2018
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-5386-7693-6 |
| 源URL | [http://ir.sia.cn/handle/173321/23827]  |
| 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 Computer Engineering, Allen E. Pauslon College of Engineering and Computing, Georgia Southern University, Statesboro, GA, 30460 USA 2.Institute for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, 110016, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Gao WN,Liu YY. Adaptive Optimal Output Regulation of Continuous-Time Linear Systems via Internal Model Principle[C]. 见:. New York, USA. November 8-10, 2018. |
入库方式： OAI收割
来源：沈阳自动化研究所
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