JOURNAL ARTICLE

Sliding Mode based Fuzzy Control of Stochastic Systems with Time Delay

Abstract

This paper focuses on the design of a fuzzy sliding mode controller for stochastic time-delay systems with unknown nonlinearities. The Takagi-Sugeno (T-S) fuzzy model is generalized to describe the stochastic delay system. A sufficient condition is derived such that the sliding mode dynamics is mean-square exponentially stable in the specified switching surface. Then, a sliding mode based control law is synthesized to guarantee the reachability of the specified sliding surface. The stability criterion is formulated by linear matrix inequalities and dependent on the size of time delay. Therefore, the result developed is less conservative than some existing results

Keywords:
Control theory (sociology) Reachability Sliding mode control Fuzzy logic Fuzzy control system Exponential stability Controller (irrigation) Mode (computer interface) Stability (learning theory) Linear matrix inequality Mathematics Computer science Nonlinear system Control (management) Mathematical optimization Algorithm Physics

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4
Cited By
2.71
FWCI (Field Weighted Citation Impact)
16
Refs
0.90
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Citation History

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
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
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