BOOK-CHAPTER

Fuzzy Adaptive Controller for Synchronization of Uncertain Fractional-Order Chaotic Systems

A. Bouzeriba

Year: 2018 Advances in computer and electrical engineering book series Pages: 190-217   Publisher: IGI Global

Abstract

In this chapter, the projective synchronization problem of different multivariable fractional-order chaotic systems with both uncertain dynamics and external disturbances is studied. More specifically, a fuzzy adaptive controller is investigated for achieving a projective synchronization of uncertain fractional-order chaotic systems. The adaptive fuzzy-logic system is used to online estimate the uncertain nonlinear functions. The latter is augmented by a robust control term to efficiently compensate for the unavoidable fuzzy approximation errors, external disturbances as well as residual error due to the use of the so-called e-modification in the adaptive laws. A Lyapunov approach is employed to derive the parameter adaptation laws and to prove the boundedness of all signals of the closed-loop system. Numerical simulations are performed to verify the effectiveness of the proposed synchronization scheme.

Keywords:
Control theory (sociology) Synchronization (alternating current) Controller (irrigation) Adaptive control Synchronization of chaos Fuzzy logic Mathematics Chaotic Nonlinear system Computer science Control (management) Topology (electrical circuits) Artificial intelligence

Metrics

3
Cited By
2.00
FWCI (Field Weighted Citation Impact)
68
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Chaos control and synchronization
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

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