A Sliding Mode Observer for Uncertain Nonlinear Systems Based on Multiple Models Approach  

作　　者：Kd s Hfa edh Karim Dahech Tarak Damak 

机构地区：[1]Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering (Lab-STA), National School of Engineers of Sfax, University of Sfax, B.P. 1173, 3038, Sfax, Tunisia

出　　处：《International Journal of Automation and computing》2017年第2期202-212,共11页国际自动化与计算杂志（英文版）

摘　　要：This paper presents a method of state estimation for uncertain nonlinear systems described by multiple models approach. The uncertainties, supposed as norm bounded type, are caused by some parameters＇ variations of the nonlinear system. Linear matri~ inequalities （LMIs） have been established in order to ensure the stability conditions of the multiple observer which lead to determine the estimation gains. A sliding mode gain has been added in order to compensate the uncertainties. Numerical simulations through a state space model of a real process have been realized to show the robustness of the synthesized observer.This paper presents a method of state estimation for uncertain nonlinear systems described by multiple models approach. The uncertainties, supposed as norm bounded type, are caused by some parameters＇ variations of the nonlinear system. Linear matri~ inequalities （LMIs） have been established in order to ensure the stability conditions of the multiple observer which lead to determine the estimation gains. A sliding mode gain has been added in order to compensate the uncertainties. Numerical simulations through a state space model of a real process have been realized to show the robustness of the synthesized observer.

关 键 词：Uncertain nonlinear system norm bounded uncertainty multiple models approach multiple observer sliding modeobserver. 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TP13[自动化与计算机技术—控制科学与工程]