自适应动态规划综述

张化光; 张欣; 罗艳红; 杨珺

doi:10.3724/SP.J.1004.2013.00303

自适应动态规划综述

doi: 10.3724/SP.J.1004.2013.00303

张化光^1,2,,
张欣³,
罗艳红¹,
杨珺¹

1.
东北大学信息科学与工程学院沈阳 110819;
2.
东北大学流程工业综合自动化国家重点实验室沈阳 110819;
3.
中国石油大学(华东)信息与控制工程学院青岛 266580

详细信息

通讯作者:
张化光

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- 被引次数: 0
出版历程
- 收稿日期: 2012-07-19
- 修回日期: 2012-10-29
- 刊出日期: 2013-04-20

An Overview of Research on Adaptive Dynamic Programming

1.
School of Information Science and Engineering, Northeastern University, Shenyang 110819;
2.
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819;
3.
College of Information and Control Engineering, China University of Petroleum, Qingdao 266580

摘要

摘要: 自适应动态规划(Adaptive dynamic programming, ADP)是最优控制领域新兴起的一种近似最优方法, 是当前国际最优化领域的研究热点. ADP方法利用函数近似结构来近似哈密顿--雅可比--贝尔曼(Hamilton-Jacobi-Bellman, HJB)方程的解, 采用离线迭代或者在线更新的方法, 来获得系统的近似最优控制策略, 从而能够有效地解决非线性系统的优化控制问题. 本文按照ADP的结构变化、算法的发展和应用三个方面介绍ADP方法. 对目前ADP方法的研究成果加以总结, 并对这一研究领域仍需解决的问题和未来的发展方向作了进一步的展望.
- 自适应动态规划 /
- 神经网络 /
- 非线性系统 /
- 稳定性
Abstract: Adaptive dynamic programming (ADP) is a novel approximate optimal control scheme, which has recently become a hot topic in the field of optimal control. As a standard approach in the field of ADP, a function approximation structure is used to approximate the solution of Hamilton-Jacobi-Bellman (HJB) equation. The approximate optimal control policy is obtained by using the offline iteration algorithm or the online update algorithm. This paper gives a review of ADP in the order of the variation on the structure of ADP scheme, the development of ADP algorithms and applications of ADP scheme, aiming to bring the reader into this novel field of optimization technology. Furthermore, the future studies are pointed out.
- Adaptive dynamic programming (ADP) /
- neural networks (NNs) /
- nonlinear systems /
- stability

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参考文献(1)

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