Knowledge Commons of Institute of Automation,CAS
Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems | |
Liu, Derong; Wang, Ding; Wang, Fei-Yue; Li, Hongliang; Yang, Xiong | |
发表期刊 | IEEE TRANSACTIONS ON CYBERNETICS |
2014-12-01 | |
卷号 | 44期号:12页码:2834-2847 |
文章类型 | Article |
摘要 | In this paper, the infinite horizon optimal robust guaranteed cost control of continuous-time uncertain nonlinear systems is investigated using neural-network-based online solution of Hamilton-Jacobi-Bellman (HJB) equation. By establishing an appropriate bounded function and defining a modified cost function, the optimal robust guaranteed cost control problem is transformed into an optimal control problem. It can be observed that the optimal cost function of the nominal system is nothing but the optimal guaranteed cost of the original uncertain system. A critic neural network is constructed to facilitate the solution of the modified HJB equation corresponding to the nominal system. More importantly, an additional stabilizing term is introduced for helping to verify the stability, which reinforces the updating process of the weight vector and reduces the requirement of an initial stabilizing control. The uniform ultimate boundedness of the closed-loop system is analyzed by using the Lyapunov approach as well. Two simulation examples are provided to verify the effectiveness of the present control approach. |
关键词 | Adaptive Critic Designs Adaptive/approximate Dynamic Programming (Adp) Hamilton-jacobi-bellman (Hjb) Equation Neural Networks Optimal Robust Guaranteed Cost Control Uncertain Nonlinear Systems |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | DYNAMIC-PROGRAMMING ALGORITHM ; ZERO-SUM GAMES ; FEEDBACK-CONTROL ; INPUT CONSTRAINTS ; UNKNOWN DYNAMICS ; TRACKING CONTROL ; LEARNING CONTROL ; POLICY UPDATE ; DESIGN ; REINFORCEMENT |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
WOS记录号 | WOS:000345629000048 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/3626 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
作者单位 | Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Liu, Derong,Wang, Ding,Wang, Fei-Yue,et al. Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems[J]. IEEE TRANSACTIONS ON CYBERNETICS,2014,44(12):2834-2847. |
APA | Liu, Derong,Wang, Ding,Wang, Fei-Yue,Li, Hongliang,&Yang, Xiong.(2014).Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems.IEEE TRANSACTIONS ON CYBERNETICS,44(12),2834-2847. |
MLA | Liu, Derong,et al."Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems".IEEE TRANSACTIONS ON CYBERNETICS 44.12(2014):2834-2847. |
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