JOURNAL ARTICLE

Observer-based robust passive fuzzy control for discrete Takagi-Sugeno fuzzy systems

Abstract

This paper deals with the problem of observer-based robust passive fuzzy control for uncertain Takagi-Sugeno (T-S) fuzzy model with multiplicative noises. For describing the stochastic behaviors of the system, the stochastic differential equation is used to structure the stochastic T-S fuzzy model. And, the uncertainties of the controlled system are considered in this paper for dealing with molding errors and varying parameters. Furthermore, using the Lyapunov function and passivity theory, the sufficient stability conditions can be derived in term of Linear Matrix Inequality (LMI) via two-step procedure. Finally, the numerical simulations are proposed to show the effectiveness and usefulness of this paper.

Keywords:
Control theory (sociology) Fuzzy control system Linear matrix inequality Fuzzy logic Lyapunov function Observer (physics) Mathematics Passivity Robust control Computer science Stability (learning theory) Mathematical optimization Control system Control (management) Nonlinear system Engineering Artificial intelligence

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Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications

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JOURNAL ARTICLE

Fuzzy control with robust and passive properties for discrete-time Takagi–Sugeno fuzzy systems with multiplicative noises

W-J ChangSiao-Rou JhengCheung‐Chieh Ku

Journal:   Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering Year: 2011 Vol: 226 (4)Pages: 476-485
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