Knowledge Commons of Institute of Automation，CAS
| Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming | |
Huang, Yuzhu1; Wang, Ding2 ; Liu, Derong3
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| 发表期刊 | NEUROCOMPUTING
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| 2017-11-29 | |
| 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 |
| DOI | 10.1016/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 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/20720 |
| 专题 | 多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队 |
| 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. |
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| [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 | |
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