JOURNAL ARTICLE

Robust PI Adaptive Fuzzy Control for a Class of Uncertain Nonlinear Systems

Abstract

A robust PI adaptive fuzzy controller for a class of uncertain nonlinear systems is investigated. The proposed method is robust in the presence of uncertainties and bounded external disturbances. To cope with the lack of system structure and signal uncertainty the adaptive fuzzy control is used. Furthermore, a PI-type control is introduced to cope with the bounded disturbances, which also provides robustness in the presence of large disturbances. Asymptotic stability of the proposed method is shown based on Lyapunov approach. Application of the proposed method to an inverted pendulum system demonstrates the effectiveness of the proposed approach.

Keywords:
Control theory (sociology) Robustness (evolution) Bounded function Nonlinear system Robust control Fuzzy control system Fuzzy logic Adaptive control Inverted pendulum Computer science Mathematics Exponential stability Lyapunov stability Control (management) Artificial intelligence

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8
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1.81
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16
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0.85
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Citation History

Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Chaos control and synchronization
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
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