Knowledge Commons of Institute of Automation,CAS
Constrained-cost adaptive dynamic programming for optimal control of discrete-time nonlinear systems | |
Wei, Qinglai1,2![]() ![]() | |
发表期刊 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
![]() |
2023-02-02 | |
卷号 | 35期号:3页码:3251 - 3264 |
摘要 | For discrete-time nonlinear systems, this research is concerned with optimal control problems (OCPs) with constrained cost, and a novel value iteration with constrained cost (VICC) method is developed to solve the optimal control law with the constrained cost functions. The VICC method is initialized through a value function constructed by a feasible control law. It is proven that the iterative value function is nonincreasing and converges to the solution of the Bellman equation with constrained cost. The feasibility of the iterative control law is proven. The method to find the initial feasible control law is given. Implementation using neural networks (NNs) is introduced, and the convergence is proven by considering the approximation error. Finally, the property of the present VICC method is shown by two simulation examples. |
关键词 | Adaptive dynamic programming approximate dynamic programming constrained cost optimal control reinforcement learning |
语种 | 英语 |
是否为代表性论文 | 是 |
七大方向——子方向分类 | 决策智能理论与方法 |
国重实验室规划方向分类 | 智能计算与学习 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/56608 |
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 |
通讯作者 | Li, Tao |
作者单位 | 1.the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.the School of Artificial Intelligence, University of Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Wei, Qinglai,Li, Tao. Constrained-cost adaptive dynamic programming for optimal control of discrete-time nonlinear systems[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2023,35(3):3251 - 3264. |
APA | Wei, Qinglai,&Li, Tao.(2023).Constrained-cost adaptive dynamic programming for optimal control of discrete-time nonlinear systems.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,35(3),3251 - 3264. |
MLA | Wei, Qinglai,et al."Constrained-cost adaptive dynamic programming for optimal control of discrete-time nonlinear systems".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 35.3(2023):3251 - 3264. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Constrained-Cost_Ada(8471KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
查看访问统计 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Wei, Qinglai]的文章 |
[Li, Tao]的文章 |
百度学术 |
百度学术中相似的文章 |
[Wei, Qinglai]的文章 |
[Li, Tao]的文章 |
必应学术 |
必应学术中相似的文章 |
[Wei, Qinglai]的文章 |
[Li, Tao]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
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。
修改评论