中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 复杂系统认知与决策实验室
  5. 先进机器人控制团队
An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design

文献类型：期刊论文

作者Wang, Ding1,4,5; Qiao, Junfei1,4,5; Cheng, Long2,3
刊名IEEE TRANSACTIONS ON CYBERNETICS
出版日期2022
卷号52期号:1页码:77-86
关键词Control design Cost function Optimal control Nonlinear systems Adaptive systems Switches Adaptive learning system discount factor guaranteed cost function neuro-optimal control uncertainty
ISSN号2168-2267
DOI10.1109/TCYB.2020.2977318
通讯作者Wang, Ding(dingwang@bjut.edu.cn)
英文摘要The adaptive optimal feedback stabilization is investigated in this article for discounted guaranteed cost control of uncertain nonlinear dynamical systems. Via theoretical analysis, the guaranteed cost control problem involving a discounted utility is transformed to the design of a discounted optimal control policy for the nominal plant. The size of the neighborhood with respect to uniformly ultimately bounded stability is discussed. Then, for deriving the approximate optimal solution of the modified Hamilton-Jacobi-Bellman equation, an improved self-learning algorithm under the framework of adaptive critic designs is established. It facilitates the neuro-optimal control implementation without an additional requirement of the initial admissible condition. The simulation verification toward several dynamics is provided, involving the F16 aircraft plant, in order to illustrate the effectiveness of the discounted guaranteed cost control method.
WOS关键词ROBUST STABILIZATION
资助项目National Natural Science Foundation of China[61773373] ; National Natural Science Foundation of China[61873268] ; National Natural Science Foundation of China[U1913209] ; National Natural Science Foundation of China[61890930-5] ; Beijing Natural Science Foundation[JQ19013] ; Beijing Natural Science Foundation[JQ19020] ; National Key Research and Development Project[2018YFC1900800-5]
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
WOS记录号WOS:000742182700011
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; Beijing Natural Science Foundation ; National Key Research and Development Project
源URL[http://ir.ia.ac.cn/handle/173211/47328]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
通讯作者Wang, Ding
作者单位1.Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
4.Beijing Univ Technol, Beijing Artificial Intelligence Inst, Beijing 100124, Peoples R China
5.Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Ding,Qiao, Junfei,Cheng, Long. An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design[J]. IEEE TRANSACTIONS ON CYBERNETICS,2022,52(1):77-86.
APA Wang, Ding,Qiao, Junfei,&Cheng, Long.(2022).An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design.IEEE TRANSACTIONS ON CYBERNETICS,52(1),77-86.
MLA Wang, Ding,et al."An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design".IEEE TRANSACTIONS ON CYBERNETICS 52.1(2022):77-86.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。