H∞ control of fuzzy system models using linear output controllers

Authors:
Sing Kiong Nguang;Peng Shi
Affiliations:
The Department of Electrical and Electronic Engineering, The University of Auckland, Private Bag 92019 Auckland, New Zealand;Land Operations Division, Defence Science & Technology Organisation, P.O. Box 1500, Salisbury SA 5108, Australia
Venue:
Systems Analysis Modelling Simulation
Year:
2002

Citing 9
Cited 1

Stability analysis and design of fuzzy control systems

Fuzzy Sets and Systems
Analysis and design of fuzzy control system

Fuzzy Sets and Systems
A course in fuzzy systems and control

A course in fuzzy systems and control
Stability and stabilizability of fuzzy-neural-linear control systems

IEEE Transactions on Fuzzy Systems
Robust stabilization of a class of uncertain nonlinear systems via fuzzy control: quadratic stabilizability, H∞ control theory, and linear matrix inequalities

IEEE Transactions on Fuzzy Systems
An approach to fuzzy control of nonlinear systems: stability and design issues

IEEE Transactions on Fuzzy Systems
Analysis and design of fuzzy controller and fuzzy observer

IEEE Transactions on Fuzzy Systems
Stabilizing controller design for uncertain nonlinear systems using fuzzy models

IEEE Transactions on Fuzzy Systems
Stabilizing fuzzy system models using linear controllers

IEEE Transactions on Fuzzy Systems

Improved H∞ control of discrete-time fuzzy systems: a cone complementarity linearization approach

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper examines the problem of stabilising a class of fuzzy system models using linear output controllers. Based on a well-known Lyapunov functional approach, we develop a technique for designing an output feedback control law which globally stabilises this class of fuzzy system models. A design algorithm for constructing a stabilising linear output controllers is given. A numerical simulation example is presented to illustrate the theory development.