文章基本信息

标题：Robust extremum seeking for a second order uncertain plant using a sliding mode controller
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作者：Cesar Solis ; Julio Clempner ; Alexander Poznyak 等
期刊名称：International Journal of Applied Mathematics and Computer Science
电子版ISSN：2083-8492
出版年度：2019
卷号：29
期号：4
页码：1-10
DOI：10.2478/amcs-2019-0052
出版社：De Gruyter Open
摘要：This paper suggests a novel continuous-time robust extremum seeking algorithm for an unknown convex function constrained by a dynamical plant with uncertainties. The main idea of the proposed method is to develop a robust closed-loop controller based on sliding modes where the sliding surface takes the trajectory around a zone of the optimal point. We assume that the output of the plant is given by the states and a measure of the function. We show the stability and zoneconvergence of the proposed algorithm. In order to validate the proposed method, we present a numerical example.
关键词：convex optimization; extremum seeking; continuous;time gradient algorithm; dynamical constrained optimization; unknown functions;