Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors

Considering the limitation of machine and technology, we study the stability for nonlinear impulsive control system with some uncertainty factors, such as the bounded gain error and the parameter uncertainty. A new sufficient condition for this system is established based on the generalized Cauchy–S...

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Detalles Bibliográficos
Autores principales: Ren, Zemin, Wen, Shiping, Li, Qingyu, Feng, Yuming, Tang, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700033/
https://www.ncbi.nlm.nih.gov/pubmed/33273901
http://dx.doi.org/10.1155/2020/8818794
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author Ren, Zemin
Wen, Shiping
Li, Qingyu
Feng, Yuming
Tang, Ning
author_facet Ren, Zemin
Wen, Shiping
Li, Qingyu
Feng, Yuming
Tang, Ning
author_sort Ren, Zemin
collection PubMed
description Considering the limitation of machine and technology, we study the stability for nonlinear impulsive control system with some uncertainty factors, such as the bounded gain error and the parameter uncertainty. A new sufficient condition for this system is established based on the generalized Cauchy–Schwarz inequality in this paper. Compared with some existing results, the proposed method is more practically applicable. The effectiveness of the proposed method is shown by a numerical example.
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spelling pubmed-77000332020-12-02 Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors Ren, Zemin Wen, Shiping Li, Qingyu Feng, Yuming Tang, Ning Comput Intell Neurosci Research Article Considering the limitation of machine and technology, we study the stability for nonlinear impulsive control system with some uncertainty factors, such as the bounded gain error and the parameter uncertainty. A new sufficient condition for this system is established based on the generalized Cauchy–Schwarz inequality in this paper. Compared with some existing results, the proposed method is more practically applicable. The effectiveness of the proposed method is shown by a numerical example. Hindawi 2020-11-21 /pmc/articles/PMC7700033/ /pubmed/33273901 http://dx.doi.org/10.1155/2020/8818794 Text en Copyright © 2020 Zemin Ren et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ren, Zemin
Wen, Shiping
Li, Qingyu
Feng, Yuming
Tang, Ning
Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors
title Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors
title_full Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors
title_fullStr Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors
title_full_unstemmed Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors
title_short Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors
title_sort stability analysis for nonlinear impulsive control system with uncertainty factors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700033/
https://www.ncbi.nlm.nih.gov/pubmed/33273901
http://dx.doi.org/10.1155/2020/8818794
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AT wenshiping stabilityanalysisfornonlinearimpulsivecontrolsystemwithuncertaintyfactors
AT liqingyu stabilityanalysisfornonlinearimpulsivecontrolsystemwithuncertaintyfactors
AT fengyuming stabilityanalysisfornonlinearimpulsivecontrolsystemwithuncertaintyfactors
AT tangning stabilityanalysisfornonlinearimpulsivecontrolsystemwithuncertaintyfactors

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