热门
Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems
文献类型：期刊论文
| 作者 | Wei, Qinglai1 ; Liu, Derong2; Lin, Hanquan1; Derong Liu
|
| 刊名 | IEEE TRANSACTIONS ON CYBERNETICS
 |
| 出版日期 | 2016-03-01 |
| 卷号 | 46期号:3页码:840-853 |
| 关键词 | Adaptive Critic Designs Adaptive Dynamic Programming (Adp) Approximate Dynamic Programming Neural Networks Neuro-dynamic Programming Optimal Control Reinforcement Learning Value Iteration |
| DOI | 10.1109/TCYB.2015.2492242 |
| 文献子类 | Article |
| 英文摘要 | In this paper, a value iteration adaptive dynamic programming (ADP) algorithm is developed to solve infinite horizon undiscounted optimal control problems for discrete-time nonlinear systems. The present value iteration ADP algorithm permits an arbitrary positive semi-definite function to initialize the algorithm. A novel convergence analysis is developed to guarantee that the iterative value function converges to the optimal performance index function. Initialized by different initial functions, it is proven that the iterative value function will be monotonically nonincreasing, monotonically nondecreasing, or nonmonotonic and will converge to the optimum. In this paper, for the first time, the admissibility properties of the iterative control laws are developed for value iteration algorithms. It is emphasized that new termination criteria are established to guarantee the effectiveness of the iterative control laws. Neural networks are used to approximate the iterative value function and compute the iterative control law, respectively, for facilitating the implementation of the iterative ADP algorithm. Finally, two simulation examples are given to illustrate the performance of the present method. |
| WOS关键词 | OPTIMAL TRACKING CONTROL ; INPUT-OUTPUT DATA ; FEEDBACK-CONTROL ; CONTROL SCHEME ; LEARNING CONTROL ; HJB SOLUTION ; REINFORCEMENT ; APPROXIMATION ; ALGORITHM ; NETWORKS |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000370963500022 |
| 资助机构 | National Natural Science Foundation of China(61533017 ; 61273140 ; 61374105 ; 61233001) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/11355]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队 |
| 通讯作者 | Derong Liu |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wei, Qinglai,Liu, Derong,Lin, Hanquan,et al. Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems[J]. IEEE TRANSACTIONS ON CYBERNETICS,2016,46(3):840-853. |
| APA | Wei, Qinglai,Liu, Derong,Lin, Hanquan,&Derong Liu.(2016).Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems.IEEE TRANSACTIONS ON CYBERNETICS,46(3),840-853. |
| MLA | Wei, Qinglai,et al."Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems".IEEE TRANSACTIONS ON CYBERNETICS 46.3(2016):840-853. |
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。