JOURNAL ARTICLE

ADAPTIVE FUZZY SLIDING MODE CONTROL FOR UNCERTAIN NONLINEAR SYSTEMS AGAINST ACTUATOR FAULTS

Abstract

In this paper, we propose to combine the fuzzy sliding mode control to tolerate actuator faults of unknown nonlinear systems subject to external disturbances. In particular, the idea of using adaptive fuzzy system to tolerate actuator faults of unknown nonlinear systems by approximating the system functions and the effects caused by actuator faults are avoided by the control structure. On the basis of Lyapunov stability theory its shown that the resulting adaptive closed loop system can be guaranteed to be asymptotically stable in the presence of faults on actuators and disturbances.

Keywords:
Control theory (sociology) Actuator Sliding mode control Nonlinear system Mode (computer interface) Adaptive control Fuzzy control system Computer science Fuzzy logic Control engineering Control (management) Engineering Artificial intelligence Physics

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Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence

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