文章基本信息

标题：State and fault estimation of a class of nonlinear systems with slow internal dynamics: Asymptotic Decoupling approach
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作者：Dalil Ichalal ; Saïd Mammar
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：4
页码：130-134
DOI：10.1016/j.ifacol.2021.10.022
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents an Unknown Input Observer (UIO) for a class of Lipschitz nonlinear systems affected by disturbances/faults and having slow internal dynamics after the decoupling of the Unknown Input (UI). Thanks to the Asymptotic Decoupling notion, the constraint related to the internal dynamics is bypassed. The nonlinear UIO presents time varying dynamics that allows to obtain the Asymptotic Decoupling notion. It will be shown that the proposed approach allows to enhance the convergence rate of the UIO. The convergence enhancement of the state estimation error is demonstrated via a Lyapunov analysis and the established conditions are expressed in terms of Linear Matrix Inequalities. Finally, simulations will be given in order to illustrate the proposed approach with some comparisons to existing techniques.
关键词：KeywordsState estimationUnknown Input Observers (UIO)Asymptotic Decoupling conceptInternal DynamicsNonlinear Lipschitz SystemsLMIs