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  • 标题:Robust extremum seeking for a second order uncertain plant using a sliding mode controller
  • 本地全文:下载
  • 作者:Cesar Solis ; Julio Clempner ; Alexander Poznyak
  • 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;
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