Knowledge Commons of Institute of Automation,CAS
Neural-network-based zero-sum game for discrete-time nonlinear systems via iterative adaptive dynamic programming algorithm | |
Liu, Derong; Li, Hongliang; Wang, Ding | |
发表期刊 | NEUROCOMPUTING |
2013-06-13 | |
卷号 | 110页码:92-100 |
文章类型 | Article |
摘要 | In this paper, we solve the zero-sum game problems for discrete-time affine nonlinear systems with known dynamics via iterative adaptive dynamic programming algorithm. First, a greedy heuristic dynamic programming iteration algorithm is developed to solve the zero-sum game problems, which can be used to solve the Hamilton-Jacobi-Isaacs equation associated with H-infinity optimal regulation control problems. The convergence analysis in terms of value function and control policy is provided. To facilitate the implementation of the algorithm, three neural networks are used to approximate the control policy, the disturbance policy, and the value function, respectively. Then, we extend the algorithm to R, optimal tracking control problems through system transformation. Finally, two simulation examples are presented to demonstrate the effectiveness of the proposed scheme. (C) 2013 Elsevier B.V. All rights reserved. |
关键词 | Adaptive Dynamic Programming Approximate Dynamic Programming Heuristic Dynamic Programming Neural Networks Zero-sum Game H-infinity Optimal Control |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | H-INFINITY-CONTROL ; OPTIMAL TRACKING CONTROL ; FEEDBACK-CONTROL ; CRITIC DESIGNS ; CONVERGENCE ; EQUATIONS ; PROOF |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000318457700011 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/3871 |
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 | 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,Li, Hongliang,Wang, Ding. Neural-network-based zero-sum game for discrete-time nonlinear systems via iterative adaptive dynamic programming algorithm[J]. NEUROCOMPUTING,2013,110:92-100. |
APA | Liu, Derong,Li, Hongliang,&Wang, Ding.(2013).Neural-network-based zero-sum game for discrete-time nonlinear systems via iterative adaptive dynamic programming algorithm.NEUROCOMPUTING,110,92-100. |
MLA | Liu, Derong,et al."Neural-network-based zero-sum game for discrete-time nonlinear systems via iterative adaptive dynamic programming algorithm".NEUROCOMPUTING 110(2013):92-100. |
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