Finite-Approximation-Error-Based Discrete-Time Iterative Adaptive Dynamic Programming
文献类型：期刊论文
| 作者 | Wei, Qinglai ; Wang, Fei-Yue; Liu, Derong; Yang, Xiong
|
| 刊名 | IEEE TRANSACTIONS ON CYBERNETICS
 |
| 出版日期 | 2014-12-01 |
| 卷号 | 44期号:12页码:2820-2833 |
| 关键词 | Adaptive critic designs adaptive dynamic programming (ADP) approximate dynamic programming approximation error neural networks neuro-dynamic programming nonlinear systems optimal control reinforcement learning value iteration |
| 英文摘要 | In this paper, a new iterative adaptive dynamic programming (ADP) algorithm is developed to solve optimal control problems for infinite horizon discrete-time nonlinear systems with finite approximation errors. First, a new generalized value iteration algorithm of ADP is developed to make the iterative performance index function converge to the solution of the Hamilton-Jacobi-Bellman equation. The generalized value iteration algorithm permits an arbitrary positive semi-definite function to initialize it, which overcomes the disadvantage of traditional value iteration algorithms. When the iterative control law and iterative performance index function in each iteration cannot accurately be obtained, for the first time a new "design method of the convergence criteria" for the finite-approximation-error-based generalized value iteration algorithm is established. A suitable approximation error can be designed adaptively to make the iterative performance index function converge to a finite neighborhood of the optimal performance index function. Neural networks are used to implement the iterative ADP algorithm. Finally, two simulation examples are given to illustrate the performance of the developed method. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | OPTIMAL TRACKING CONTROL ; NONLINEAR-SYSTEMS ; CONTROL SCHEME ; CONTROLLER-DESIGN ; LEARNING CONTROL ; REINFORCEMENT ; ALGORITHM ; OPTIMIZATION ; PERFORMANCE ; CONVERGENCE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000345629000047 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3625]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wei, Qinglai,Wang, Fei-Yue,Liu, Derong,et al. Finite-Approximation-Error-Based Discrete-Time Iterative Adaptive Dynamic Programming[J]. IEEE TRANSACTIONS ON CYBERNETICS,2014,44(12):2820-2833. |
| APA | Wei, Qinglai,Wang, Fei-Yue,Liu, Derong,&Yang, Xiong.(2014).Finite-Approximation-Error-Based Discrete-Time Iterative Adaptive Dynamic Programming.IEEE TRANSACTIONS ON CYBERNETICS,44(12),2820-2833. |
| MLA | Wei, Qinglai,et al."Finite-Approximation-Error-Based Discrete-Time Iterative Adaptive Dynamic Programming".IEEE TRANSACTIONS ON CYBERNETICS 44.12(2014):2820-2833. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
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。