Robust Adaptive Fuzzy Control via State-Dependent Function for Nonlinear Stochastic Large-Scale Systems Subject to Dead Zones

This paper concentrates on the adaptive fuzzy control problem for stochastic nonlinear large-scale systems with constraints and unknown dead zones. By introducing the state-dependent function, the constrained closed-loop system is transformed into a brand-new system without constraints, which can re...

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Main Authors: Chang-Qi Zhu, Lei Liu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/1491995
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author Chang-Qi Zhu
Lei Liu
author_facet Chang-Qi Zhu
Lei Liu
author_sort Chang-Qi Zhu
collection DOAJ
description This paper concentrates on the adaptive fuzzy control problem for stochastic nonlinear large-scale systems with constraints and unknown dead zones. By introducing the state-dependent function, the constrained closed-loop system is transformed into a brand-new system without constraints, which can realize the same control objective. Then, fuzzy logic systems (FLSs) are used to identify the unknown nonlinear functions, the dead zone inverse technique is utilized to compensate for the dead zone effect, and a robust adaptive fuzzy control scheme is developed under the backstepping frame. Based on the Lyapunov stability theory, it is proved ultimately that all signals in the closed-loop system are bounded and the tracking errors converge to a small neighborhood of the origin. Finally, an example based on an actual system is given to verify the effectiveness of the proposed control scheme.
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institution Kabale University
issn 1076-2787
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language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-ace1dc46e955484bbcf151d8e3ae80ac2025-02-03T01:27:08ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/14919951491995Robust Adaptive Fuzzy Control via State-Dependent Function for Nonlinear Stochastic Large-Scale Systems Subject to Dead ZonesChang-Qi Zhu0Lei Liu1College of Science, Liaoning University of Technology, Jinzhou 121001, Liaoning, ChinaCollege of Science, Liaoning University of Technology, Jinzhou 121001, Liaoning, ChinaThis paper concentrates on the adaptive fuzzy control problem for stochastic nonlinear large-scale systems with constraints and unknown dead zones. By introducing the state-dependent function, the constrained closed-loop system is transformed into a brand-new system without constraints, which can realize the same control objective. Then, fuzzy logic systems (FLSs) are used to identify the unknown nonlinear functions, the dead zone inverse technique is utilized to compensate for the dead zone effect, and a robust adaptive fuzzy control scheme is developed under the backstepping frame. Based on the Lyapunov stability theory, it is proved ultimately that all signals in the closed-loop system are bounded and the tracking errors converge to a small neighborhood of the origin. Finally, an example based on an actual system is given to verify the effectiveness of the proposed control scheme.http://dx.doi.org/10.1155/2021/1491995
spellingShingle Chang-Qi Zhu
Lei Liu
Robust Adaptive Fuzzy Control via State-Dependent Function for Nonlinear Stochastic Large-Scale Systems Subject to Dead Zones
Complexity
title Robust Adaptive Fuzzy Control via State-Dependent Function for Nonlinear Stochastic Large-Scale Systems Subject to Dead Zones
title_full Robust Adaptive Fuzzy Control via State-Dependent Function for Nonlinear Stochastic Large-Scale Systems Subject to Dead Zones
title_fullStr Robust Adaptive Fuzzy Control via State-Dependent Function for Nonlinear Stochastic Large-Scale Systems Subject to Dead Zones
title_full_unstemmed Robust Adaptive Fuzzy Control via State-Dependent Function for Nonlinear Stochastic Large-Scale Systems Subject to Dead Zones
title_short Robust Adaptive Fuzzy Control via State-Dependent Function for Nonlinear Stochastic Large-Scale Systems Subject to Dead Zones
title_sort robust adaptive fuzzy control via state dependent function for nonlinear stochastic large scale systems subject to dead zones
url http://dx.doi.org/10.1155/2021/1491995
work_keys_str_mv AT changqizhu robustadaptivefuzzycontrolviastatedependentfunctionfornonlinearstochasticlargescalesystemssubjecttodeadzones
AT leiliu robustadaptivefuzzycontrolviastatedependentfunctionfornonlinearstochasticlargescalesystemssubjecttodeadzones