• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Liu, Ao (Liu, Ao.) | Wang, Ding (Wang, Ding.) | Li, Menghua (Li, Menghua.)

收录:

EI Scopus

摘要:

This paper investigates robust control problems of nonlinear continuous-time multiplayer systems with infinite horizon by utilizing adaptive dynamic programming algorithms. Combined with pre-training, an improved policy iteration (PI) algorithm is developed to solve robust control issues of multiplayer nonzero-sum (NZS) games with actuator uncertainties. Pre-training of initial weights is added to the PI algorithm to relax the requirement of the initial admissible control policy. It implies that the admissible control pair can be obtained by pre-training of initial weights given randomly. Then, critic neural networks (NNs) are utilized to approximate the optimal control pair by applying the PI algorithm. Robust controllers can be obtained by modifying the optimal control pair. The algorithm accomplishes robust stabilization of multiplayer NZS games with uncertainties. Besides, initial weights of NNs can be set arbitrarily. Finally, a simulation example is given to demonstrate the effectiveness of the developed algorithm. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词:

Iterative methods Dynamic programming Continuous time systems Robust control Adaptive control systems

作者机构:

  • [ 1 ] [Liu, Ao]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Liu, Ao]Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 3 ] [Liu, Ao]Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Liu, Ao]Beijing University of Technology, Beijing Laboratory of Smart Environmental Protection, Beijing; 100124, China
  • [ 5 ] [Wang, Ding]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Wang, Ding]Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 7 ] [Wang, Ding]Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing; 100124, China
  • [ 8 ] [Wang, Ding]Beijing University of Technology, Beijing Laboratory of Smart Environmental Protection, Beijing; 100124, China
  • [ 9 ] [Li, Menghua]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 10 ] [Li, Menghua]Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 11 ] [Li, Menghua]Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing; 100124, China
  • [ 12 ] [Li, Menghua]Beijing University of Technology, Beijing Laboratory of Smart Environmental Protection, Beijing; 100124, China

通讯作者信息:

电子邮件地址:

查看成果更多字段

相关关键词:

来源 :

ISSN: 1934-1768

年份: 2023

卷: 2023-July

页码: 2270-2275

语种: 英文

被引次数:

WoS核心集被引频次:

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 1

归属院系:

在线人数/总访问数:301/4947953
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司