Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP
Wei, Qinglai1; Song, Ruizhuo2; Yan, Pengfei1
2016-02-01
发表期刊IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷号27期号:2页码:444-458
文章类型Article
摘要This paper is concerned with a new data-driven zero-sum neuro-optimal control problem for continuous-time unknown nonlinear systems with disturbance. According to the input-output data of the nonlinear system, an effective recurrent neural network is introduced to reconstruct the dynamics of the nonlinear system. Considering the system disturbance as a control input, a two-player zero-sum optimal control problem is established. Adaptive dynamic programming ( ADP) is developed to obtain the optimal control under the worst case of the disturbance. Three single-layer neural networks, including one critic and two action networks, are employed to approximate the performance index function, the optimal control law, and the disturbance, respectively, for facilitating the implementation of the ADP method. Convergence properties of the ADP method are developed to show that the system state will converge to a finite neighborhood of the equilibrium. The weight matrices of the critic and the two action networks are also convergent to finite neighborhoods of their optimal ones. Finally, the simulation results will show the effectiveness of the developed data-driven ADP methods.
关键词Adaptive Critic Designs Adaptive Dynamic Programming (Adp) Approximate Dynamic Programming Neurodynamic Programming Nonlinear Systems Optimal Control Recurrent Neural Network (Rnn) Reinforcement Learning
WOS标题词Science & Technology ; Technology
DOI10.1109/TNNLS.2015.2464080
关键词[WOS]OPTIMAL TRACKING CONTROL ; DYNAMIC-PROGRAMMING ALGORITHM ; ADAPTIVE OPTIMAL-CONTROL ; OPTIMAL-CONTROL SCHEME ; KERNEL HILBERT-SPACES ; H-INFINITY CONTROL ; FEEDBACK-CONTROL ; APPROXIMATION ERRORS ; STABILITY ANALYSIS ; POLICY ITERATION
收录类别SCI
语种英语
项目资助者Beijing Natural Science Foundation(4132078 ; National Natural Science Foundation of China(61034002 ; China Postdoctoral Science Foundation(2013M530527) ; Fundamental Research Funds for the Central Universities(FRF-TP-14-119A2) ; Open Research Project from SKLMCCS(20150104) ; Early Career Development Award of State Key Laboratory of Management and Control for Complex Systems ; 4143065) ; 61304079 ; 61273140 ; 61374105)
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000372020500021
引用统计
被引频次:68[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/11368
专题复杂系统管理与控制国家重点实验室_平行控制
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
Wei, Qinglai,Song, Ruizhuo,Yan, Pengfei. Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2016,27(2):444-458.
APA Wei, Qinglai,Song, Ruizhuo,&Yan, Pengfei.(2016).Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,27(2),444-458.
MLA Wei, Qinglai,et al."Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 27.2(2016):444-458.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Data-Driven Zero-Sum(2204KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wei, Qinglai]的文章
[Song, Ruizhuo]的文章
[Yan, Pengfei]的文章
百度学术
百度学术中相似的文章
[Wei, Qinglai]的文章
[Song, Ruizhuo]的文章
[Yan, Pengfei]的文章
必应学术
必应学术中相似的文章
[Wei, Qinglai]的文章
[Song, Ruizhuo]的文章
[Yan, Pengfei]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Data-Driven Zero-Sum Neuro-Optimal Control.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

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。