• 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:

Wang, Ding (Wang, Ding.) (学者:王鼎)

收录:

EI SCIE

摘要:

In this paper, the author focuses on establishing an intelligent critic control framework with robustness guarantee for disturbed nonlinear systems. Combining the neural network learning ability with adaptive critic designs, a general structure of intelligent critic control is developed to address the robustness problems, which broadens the application scope of adaptive dynamic programming and the related learning control methods. First, the problem transformation is conducted for changing the robust stabilization problem into optimal control design, where a special discounted cost function is well defined. Then, a recurrent neural network is constructed to learn the unknown nominal plant with stability proof. Moreover, the critic network implementation is presented with the help of the obtained neural identifier and the adaptive learning architecture. In addition, extension discussions and several simulation examples are provided to display the robustness verification results of the intelligent critic strategy.

关键词:

Adaptation models Adaptive learning Adaptive systems Cost function disturbance intelligent critic control neural identifier Neural networks Optimal control robustness Robustness Stability analysis

作者机构:

  • [ 1 ] [Wang, Ding]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Ding]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China

通讯作者信息:

  • 王鼎

    [Wang, Ding]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

电子邮件地址:

查看成果更多字段

相关关键词:

来源 :

IEEE TRANSACTIONS ON CYBERNETICS

ISSN: 2168-2267

年份: 2020

期: 6

卷: 50

页码: 2740-2748

1 1 . 8 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:34

JCR分区:1

被引次数:

WoS核心集被引频次: 41

SCOPUS被引频次: 44

ESI高被引论文在榜: 2 展开所有

  • 2020-9
  • 2020-7

万方被引频次:

中文被引频次:

近30日浏览量: 3

在线人数/总访问数:199/3603425
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