Adaptive observer‐based control for fractional‐order chaotic MEMS system

Abstract This paper proposes an adaptive observer‐based scheme to control fractional‐order chaotic micro‐electro‐mechanical‐systems (MEMS). The fractional‐order model of a system exhibits the dynamic behaviour of a physical system more accurately than a similar integer‐order one. An observer‐based c...

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Main Authors: Zahra Yaghoubi, Mahdieh Adeli
Format: Article
Language:English
Published: Wiley 2023-07-01
Series:IET Control Theory & Applications
Subjects:
Online Access:https://doi.org/10.1049/cth2.12495
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author Zahra Yaghoubi
Mahdieh Adeli
author_facet Zahra Yaghoubi
Mahdieh Adeli
author_sort Zahra Yaghoubi
collection DOAJ
description Abstract This paper proposes an adaptive observer‐based scheme to control fractional‐order chaotic micro‐electro‐mechanical‐systems (MEMS). The fractional‐order model of a system exhibits the dynamic behaviour of a physical system more accurately than a similar integer‐order one. An observer‐based control considering the unknown parameters is presented for a fractional‐order chaotic micro‐electro‐mechanical‐system. To handle the existence of the unknown parameters, the control law consists of both estimated parameters and also estimated states that have been designed. First, a fractional‐order observer is designed to estimate the state variables. The asymptotic convergence to zero of the estimation state error is proved using the Lyapunov scheme. After that, with the designed observer as a foundation, adaptive control is expanded for the closed‐loop system to ensure its asymptotic stability. An evaluation of the proposed method shows its efficacy via simulations for two case studies.
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spelling doaj.art-4e200faf30334015978ab448c42dce932023-07-12T10:20:01ZengWileyIET Control Theory & Applications1751-86441751-86522023-07-0117111586159810.1049/cth2.12495Adaptive observer‐based control for fractional‐order chaotic MEMS systemZahra Yaghoubi0Mahdieh Adeli1Computer Engineering Imam Khomeini International University Qazvin IranDepartment of Electrical and Computer Engineering University of Kashan Kashan IranAbstract This paper proposes an adaptive observer‐based scheme to control fractional‐order chaotic micro‐electro‐mechanical‐systems (MEMS). The fractional‐order model of a system exhibits the dynamic behaviour of a physical system more accurately than a similar integer‐order one. An observer‐based control considering the unknown parameters is presented for a fractional‐order chaotic micro‐electro‐mechanical‐system. To handle the existence of the unknown parameters, the control law consists of both estimated parameters and also estimated states that have been designed. First, a fractional‐order observer is designed to estimate the state variables. The asymptotic convergence to zero of the estimation state error is proved using the Lyapunov scheme. After that, with the designed observer as a foundation, adaptive control is expanded for the closed‐loop system to ensure its asymptotic stability. An evaluation of the proposed method shows its efficacy via simulations for two case studies.https://doi.org/10.1049/cth2.12495adaptive controladaptive estimationchaoscontrol nonlinearitiesfractalsnon‐linear control systems
spellingShingle Zahra Yaghoubi
Mahdieh Adeli
Adaptive observer‐based control for fractional‐order chaotic MEMS system
IET Control Theory & Applications
adaptive control
adaptive estimation
chaos
control nonlinearities
fractals
non‐linear control systems
title Adaptive observer‐based control for fractional‐order chaotic MEMS system
title_full Adaptive observer‐based control for fractional‐order chaotic MEMS system
title_fullStr Adaptive observer‐based control for fractional‐order chaotic MEMS system
title_full_unstemmed Adaptive observer‐based control for fractional‐order chaotic MEMS system
title_short Adaptive observer‐based control for fractional‐order chaotic MEMS system
title_sort adaptive observer based control for fractional order chaotic mems system
topic adaptive control
adaptive estimation
chaos
control nonlinearities
fractals
non‐linear control systems
url https://doi.org/10.1049/cth2.12495
work_keys_str_mv AT zahrayaghoubi adaptiveobserverbasedcontrolforfractionalorderchaoticmemssystem
AT mahdiehadeli adaptiveobserverbasedcontrolforfractionalorderchaoticmemssystem