Robust adaptive dynamic programming for linear and nonlinear systems: An overview

Robust adaptive dynamic programming for linear and nonlinear systems: An overview
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DOI:
10.1016/j.ejcon.2013.05.017
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发表时间:
2013-09-01
影响因子:
3.4
通讯作者:
Jiang, Yu
Jiang, Yu
中科院分区:
计算机科学3区
文献类型:
--
作者:
Jiang, Zhong-Ping;Jiang, Yu

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自适应动态规划在控制工程中有着广泛的应用,在过去的几年里得到了迅速的发展。针对同时具有参数不确定性和动态不确定性的线性和非线性系统,提出了一种新的鲁棒自适应动态规划理论(简称RADP)。本文的一个中心目标是简要概述我们最近对RADP理论发展的贡献,并概述它在工程和生物学中的潜在应用。(C)2013年欧洲管制协会。爱思唯尔有限公司出版。保留所有权利。
The field of adaptive dynamic programming with diverse applications in control engineering has undergone rapid progress over the past few years. A new theory called "Robust Adaptive Dynamic Programming" (for short, RADP) is developed for the design of robust optimal controllers for linear and nonlinear systems subject to both parametric and dynamic uncertainties. A central objective of this paper is to give a brief overview of our recent contributions to the development of the theory of RADP and to outline its potential applications in engineering and biology. (C) 2013 European Control Association. Published by Elsevier Ltd. All rights reserved.