Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming
Huang, Yuzhu1; Wang, Ding2; Liu, Derong3
2017-11-29
发表期刊NEUROCOMPUTING
卷号266页码:128-140
文章类型Article
摘要This paper is an effort towards developing an optimal learning algorithm to design the bounded robust controller for uncertain nonlinear systems with control constraints using single-network adaptive dynamic programming (ADP). First, the bounded robust control problem is transformed into an optimal control problem of the nominal system by a modified cost function with nonquadratic utility, which is used not only to account for all possible uncertainties, but also to deal with the control constraints. Then based on single-network ADP, an optimal learning algorithm is proposed for the nominal system by a single critic network to approximate the solution of Hamilton-Jacobi-Bellman (HJB) equation. An additional adjusting term is employed to stabilize the system and relax the requirement for an initial stabilizing control. Besides, uniform ultimate boundedness of the closed-loop system is guaranteed by Lyapunov's direct method during the learning process. Moreover, the equivalence of the approximate optimal solution of optimal control problem and the solution of bounded robust control problem is also shown. Finally, four simulation examples are provided to demonstrate the effectiveness of the proposed approach. (C) 2017 Elsevier B.V. All rights reserved.
关键词Neural Networks Optimal Control Adaptive Dynamic Programming Bounded Robust Control Uncertain Nonlinear Systems
WOS标题词Science & Technology ; Technology
DOI10.1016/j.neucom.2017.05.030
关键词[WOS]CONSTRAINED-INPUT SYSTEMS ; GUARANTEED COST CONTROL ; TIME-SYSTEMS ; HJB SOLUTION ; STABILIZATION
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61233001 ; Beijing Natural Science Foundation(4162065) ; Early Career Development Award of SKLMCCS ; 61533017 ; U1501251)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000408183900013
引用统计
被引频次:2[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/173211/20720
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.Natl Res Ctr Gas Turbine & IGCC Technol, Syst Control Res Sect, Beijing 100084, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
推荐引用方式
GB/T 7714
Huang, Yuzhu,Wang, Ding,Liu, Derong. Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming[J]. NEUROCOMPUTING,2017,266:128-140.
APA Huang, Yuzhu,Wang, Ding,&Liu, Derong.(2017).Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming.NEUROCOMPUTING,266,128-140.
MLA Huang, Yuzhu,et al."Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming".NEUROCOMPUTING 266(2017):128-140.
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
[00-J-2017-Neucom] B(1876KB)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
[Huang, Yuzhu]的文章
[Wang, Ding]的文章
[Liu, Derong]的文章
百度学术
百度学术中相似的文章
[Huang, Yuzhu]的文章
[Wang, Ding]的文章
[Liu, Derong]的文章
必应学术
必应学术中相似的文章
[Huang, Yuzhu]的文章
[Wang, Ding]的文章
[Liu, Derong]的文章
相关权益政策
暂无数据
收藏/分享
文件名: [00-J-2017-Neucom] Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming.pdf
格式: Adobe PDF
此文件暂不支持浏览
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。