文章基本信息

标题：Global Optimal Output Regulation of Partially Linear Systems via Robust Adaptive Dynamic Programming ∗
本地全文：下载
作者：Weinan Gao ; Zhong-Ping Jiang
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：11
页码：742-747
DOI：10.1016/j.ifacol.2015.09.278
语种：English
出版社：Elsevier
摘要：AbstractA non-model-based robust adaptive dynamic programming (RADP) approach is developed to solve the global optimal output regulation problem (GOORP) of partially linear systems with nonlinear dynamic uncertainties. By converting the output regulation problem into a global robust optimal stabilization problem, a robust optimal controller is designed by means of the RADP for the transformed system. Nonlinear small-gain theory is applied to conclude the global asymptotic stability for the closed-loop system and thus solves the original GOORP. Simulation results illustrate the effectiveness of the proposed methodology.
关键词：KeywordsRobust adaptive dynamic programming (RADP)robust optimal controloutput regulationadaptive control