Regular Papers

Transaction on Control Automation, and Systems Engineering 1999; 1(2): 99-105

© The International Journal of Control, Automation, and Systems

Fuzzy H∞ Filtering for Nonlinear Systems with Time-Varying Delayed States

Kap Rai Lee/Jang Sik Lee/Do Chang Oh/Hong Bae Park

Abstract

This paper presents a fuzzy H∞ filtering problem for a class of uncertain nonlinear systems with time-varying delayed states and unknown initial state on the basis of Takagi-Sugeno(T-S) fuzzy model. The nonlinear systems are represented by T-S fuzzy models, and the fuzzy control systems utilize the concept of the so-called parallel distributed compensation. Using a single quadratic Lyapunov function, the stability and gain performance from the noise signals to the estimation reeor are discussed. Sufficient conditions for the existence of fuzzy H∞ filters are given in terms of linear matrix inequalities (LMIs). The filtering gains can also directly obtained form the solutions of LMIs.

Keywords fuzzyfilter, H∞ filtering, nonlinear systems, fuzzy model time-varying delays

Article

Regular Papers

Transaction on Control Automation, and Systems Engineering 1999; 1(2): 99-105

Published online December 1, 1999

Copyright © The International Journal of Control, Automation, and Systems.

Fuzzy H∞ Filtering for Nonlinear Systems with Time-Varying Delayed States

Kap Rai Lee/Jang Sik Lee/Do Chang Oh/Hong Bae Park

Abstract

This paper presents a fuzzy H∞ filtering problem for a class of uncertain nonlinear systems with time-varying delayed states and unknown initial state on the basis of Takagi-Sugeno(T-S) fuzzy model. The nonlinear systems are represented by T-S fuzzy models, and the fuzzy control systems utilize the concept of the so-called parallel distributed compensation. Using a single quadratic Lyapunov function, the stability and gain performance from the noise signals to the estimation reeor are discussed. Sufficient conditions for the existence of fuzzy H∞ filters are given in terms of linear matrix inequalities (LMIs). The filtering gains can also directly obtained form the solutions of LMIs.

Keywords: fuzzyfilter, H∞ filtering, nonlinear systems, fuzzy model time-varying delays

IJCAS
March 2025

Vol. 23, No. 3, pp. 683~972

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