Adaptive Robust Control for Networked Strict-Feedback Nonlinear Systems with State and Input Quantization

Backstepping method is a successful approach to deal with the systems in strict-feedback form. However, for networked control systems, the discontinuous virtual law caused by state quantization introduces huge challenges for its applicability. In this article, a quantized adaptive robust control app...

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Autores principales:	Yanbin Liu, Jue Wang, Luis Gomes, Weichao Sun
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	state and input quantization networked control systems uncertain systems nonlinear systems adaptive robust control Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/06c841085bd34d5ca11c597ef36980ed
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spelling	oai:doaj.org-article:06c841085bd34d5ca11c597ef36980ed2021-11-25T17:24:36ZAdaptive Robust Control for Networked Strict-Feedback Nonlinear Systems with State and Input Quantization10.3390/electronics102227832079-9292https://doaj.org/article/06c841085bd34d5ca11c597ef36980ed2021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2783https://doaj.org/toc/2079-9292Backstepping method is a successful approach to deal with the systems in strict-feedback form. However, for networked control systems, the discontinuous virtual law caused by state quantization introduces huge challenges for its applicability. In this article, a quantized adaptive robust control approach in backsetpping framework is developed in this article for networked strict-feedback nonlinear systems with both state and input quantization. In order to prove the efficiency of the designed control scheme, a novel form of Lyapunov candidate function was constructed in the process of analyzing the stability, which is applicable for the systems with nondifferentiable virtual control law. In particular, the state and input quantizers can be in any form as long as they meet the sector-bound condition. The theoretic result shows that the tracking error is determined by the pregiven constants and quantization errors, which are also verified by the simulation results.Yanbin LiuJue WangLuis GomesWeichao SunMDPI AGarticlestate and input quantizationnetworked control systemsuncertain systemsnonlinear systemsadaptive robust controlElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2783, p 2783 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	state and input quantization networked control systems uncertain systems nonlinear systems adaptive robust control Electronics TK7800-8360
spellingShingle	state and input quantization networked control systems uncertain systems nonlinear systems adaptive robust control Electronics TK7800-8360 Yanbin Liu Jue Wang Luis Gomes Weichao Sun Adaptive Robust Control for Networked Strict-Feedback Nonlinear Systems with State and Input Quantization
description	Backstepping method is a successful approach to deal with the systems in strict-feedback form. However, for networked control systems, the discontinuous virtual law caused by state quantization introduces huge challenges for its applicability. In this article, a quantized adaptive robust control approach in backsetpping framework is developed in this article for networked strict-feedback nonlinear systems with both state and input quantization. In order to prove the efficiency of the designed control scheme, a novel form of Lyapunov candidate function was constructed in the process of analyzing the stability, which is applicable for the systems with nondifferentiable virtual control law. In particular, the state and input quantizers can be in any form as long as they meet the sector-bound condition. The theoretic result shows that the tracking error is determined by the pregiven constants and quantization errors, which are also verified by the simulation results.
format	article
author	Yanbin Liu Jue Wang Luis Gomes Weichao Sun
author_facet	Yanbin Liu Jue Wang Luis Gomes Weichao Sun
author_sort	Yanbin Liu
title	Adaptive Robust Control for Networked Strict-Feedback Nonlinear Systems with State and Input Quantization
title_short	Adaptive Robust Control for Networked Strict-Feedback Nonlinear Systems with State and Input Quantization
title_full	Adaptive Robust Control for Networked Strict-Feedback Nonlinear Systems with State and Input Quantization
title_fullStr	Adaptive Robust Control for Networked Strict-Feedback Nonlinear Systems with State and Input Quantization
title_full_unstemmed	Adaptive Robust Control for Networked Strict-Feedback Nonlinear Systems with State and Input Quantization
title_sort	adaptive robust control for networked strict-feedback nonlinear systems with state and input quantization
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/06c841085bd34d5ca11c597ef36980ed
work_keys_str_mv	AT yanbinliu adaptiverobustcontrolfornetworkedstrictfeedbacknonlinearsystemswithstateandinputquantization AT juewang adaptiverobustcontrolfornetworkedstrictfeedbacknonlinearsystemswithstateandinputquantization AT luisgomes adaptiverobustcontrolfornetworkedstrictfeedbacknonlinearsystemswithstateandinputquantization AT weichaosun adaptiverobustcontrolfornetworkedstrictfeedbacknonlinearsystemswithstateandinputquantization
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Adaptive Robust Control for Networked Strict-Feedback Nonlinear Systems with State and Input Quantization

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