State and unknown input estimation for nonlinear systems described by Takagi-Sugeno models with unmeasurable premise variables

被引：13

作者：

Ichalal, Dalil ^{[1
]}

Marx, Benoit ^{[1
]}

Ragot, Jose ^{[1
]}

Maquin, Didier ^{[1
]}

机构：

[1] Nancy Univ, CRAN, UMR 7039, F-54516 Vandoeuvre Les Nancy, France

来源：

MED: 2009 17TH MEDITERRANEAN CONFERENCE ON CONTROL & AUTOMATION, VOLS 1-3 | 2009年

关键词：

OBSERVERS;

D O I：

10.1109/MED.2009.5164542

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a new method to synthesize observers for continuous time nonlinear systems described by Takagi-Sugeno (TS) model with unmeasurable premise variables. First, convergence conditions are established in order to guarantee the convergence of the state estimation error. These conditions are given in Linear Matrix Inequality (LMI) formulation. Secondly, a classical Proportional Integral Observer (PIO) is extended to the considered nonlinear systems in order to estimate the state and the unknown inputs (UT).

引用

页码：217 / 222

页数：6

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