International Journal of Robotics and Control Systems

International Journal of Robotics and Control Systems

Robust Fuzzy Adaptive Control with MRAC Configuration for a Class of Fractional Order Uncertain Linear Systems

Yazarlar: Bachir Bourouba, Samir Ladaci, Rachid Illoul

Cilt 1 , Sayı 3 , 2021 , Sayfalar 326-337

Konular:-

DOI:10.31763/ijrcs.v1i3.426

Anahtar Kelimeler:Fractional order system; Adaptive MRAC control; Robustness; Fuzzy logic; Lyapunov stability

Özet: This paper investigates a novel robust fractional adaptive control design for a class of fractional-order uncertain linear systems. Based on the Model Reference Adaptive Control (MRAC) configuration, the objective of the proposed controller is to ensure the output of the controlled plant to track the output of a given reference model system, while maintaining the overall closed-loop stability despite external disturbances and model uncertainties. An adaptive fuzzy logic controller is employed to eliminate unknown dynamics and disturbance. Lyapunov stability analysis demonstrates and verifies the desired fractional adaptive control system stability and tracking performance. Numerical simulation results illustrate the efficiency of the proposed adaptive fuzzy control strategy to deal with uncertain and disturbed fractional-order linear systems.


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KAYNAK GÖSTER
BibTex
KOPYALA
@article{2021, title={Robust Fuzzy Adaptive Control with MRAC Configuration for a Class of Fractional Order Uncertain Linear Systems}, volume={1}, number={326–337}, publisher={International Journal of Robotics and Control Systems}, author={Bachir Bourouba, Samir Ladaci, Rachid Illoul}, year={2021} }
APA
KOPYALA
Bachir Bourouba, Samir Ladaci, Rachid Illoul. (2021). Robust Fuzzy Adaptive Control with MRAC Configuration for a Class of Fractional Order Uncertain Linear Systems (Vol. 1). Vol. 1. International Journal of Robotics and Control Systems.
MLA
KOPYALA
Bachir Bourouba, Samir Ladaci, Rachid Illoul. Robust Fuzzy Adaptive Control with MRAC Configuration for a Class of Fractional Order Uncertain Linear Systems. no. 326–337, International Journal of Robotics and Control Systems, 2021.