文章基本信息

标题：An Enhanced Stabilizing Strategy for Switched Nonlinear Systems
本地全文：下载
作者：Faiçal HAMIDI ; Houssem JERBI ; Severus Constantin OLTEANU 等
期刊名称：Studies in Informatics and Control Journal
印刷版ISSN：1220-1766
出版年度：2019
卷号：28
期号：4
页码：391-400
DOI：10.24846/v28i4y201903
出版社：National Institute for R&D in Informatics
摘要：This study examines a computational technique used to design a novel feedback control law based on an expansion strategy of the Attraction Domain (DA) for a class of nonlinear switched systems. It is supposed that the state space is distributed into numerous regions without any intersections and modelled by polynomial inequalities. The main concept involves the maximization of the DA for local subsystems surrounding particular operational points. It was demonstrated that the DA can be ascertained by joining a Genetic Algorithmic method (GA) as an enhanced optimisation approach with the LMI method for a specified Lyapunov function. The feedback controller can then be constructed in order to ensure a global stability by using the Multiple Lyapunov function sets via switching signals. The effectiveness of this evolved strategy is eventually confirmed via a simulation examination by means of the benchmark Van der Pol oscillator.
关键词：Nonlinear switched models; Multiple Lyapunov function; Stability; LMI; Genetic Algorithms; Domain of Attraction (DA);