JOURNAL ARTICLE

Fuzzy observer design for nonlinear stochastic time-delay systems via sliding mode control

Abstract

This paper addresses the problem of observer-based sliding mode control for nonlinear stochastic time-delay systems represented by Takagi-Sugeno(T-S) fuzzy model. A delay-dependent sufficient condition for the asymptotic stability (in probability) of the overall closed-loop fuzzy stochastic system is derived. Moreover, it is shown that when the linear matrix inequalities (LMIs) are feasible, the sliding mode in the estimation space can be attained in finite time. Finally, a simulation example is shown to illustrate the proposed method.

Keywords:
Control theory (sociology) Observer (physics) Nonlinear system Exponential stability Fuzzy logic Fuzzy control system Sliding mode control Linear matrix inequality Stability (learning theory) Mathematics Computer science Mode (computer interface) Mathematical optimization Control (management) Artificial intelligence

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Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
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