Knowledge Commons of Institute of Automation,CAS
A New Constrained Cost Value Iteration for Optimal Control of Discrete-Time Nonlinear Systems | |
Li, Tao![]() ![]() | |
2021-10 | |
会议名称 | 2021 China Automation Congress (CAC) |
会议日期 | 2021.10.22-24 |
会议地点 | Beijing, China |
摘要 | In this paper, a new constrained cost value iteration (CCVI) adaptive dynamic programming (ADP) algorithm is developed to solve optimal control problems with constrained cost function. The CCVI algorithm is initialized by a feasible control law, and the cost function of this initial feasible control constitutes the constraint condition in the policy update step. The convergence and optimality of the CCVI are analyzed. Furthermore, the feasibility of any iterative control law and the on-line evolving control law are proven. It is emphasized that the feasibility of any iterative control law and the on-line evolving control law guarantee that the CCVI algorithm can be used in situations where the cost function constraint is extremely important. Finally, a simulation example is given to verify the effect of the developed algorithm. |
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 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/56615 |
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 | Wei, Qinglai |
作者单位 | 1.The State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Li, Tao,Wei, Qinglai. A New Constrained Cost Value Iteration for Optimal Control of Discrete-Time Nonlinear Systems[C],2021. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
CAC会议.pdf(865KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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