Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors.

Ren, Zemin; Wen, Shiping; Li, Qingyu; Feng, Yuming; Tang, Ning

Ren, Zemin; Wen, Shiping; Li, Qingyu; Feng, Yuming; Tang, Ning.

Afiliação

Ren Z; School of Mathematics, Physics and Data Science, Chongqing University of Science and Technology, Chongqing 401331, China.
Wen S; Australian AI Institute, University of Technology Sydney, Ultimo, NSW 2007, Australia.
Li Q; School of Mathematics, Physics and Data Science, Chongqing University of Science and Technology, Chongqing 401331, China.
Feng Y; Key Laboratory of Intelligent Information Processing and Control, Chongqing Three Gorges University, Wanzhou, Chongqing 404100, China.
Tang N; Key Laboratory of Intelligent Information Processing and Control, Chongqing Three Gorges University, Wanzhou, Chongqing 404100, China.

Comput Intell Neurosci ; 2020: 8818794, 2020.

Article em En | MEDLINE | ID: mdl-33273901

ABSTRACT

ABSTRACT

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.

Assuntos

Redes Neurais de Computação; Dinâmica não Linear; Incerteza

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Dinâmica não Linear Tipo de estudo: Prognostic_studies Idioma: En Revista: Comput Intell Neurosci Assunto da revista: INFORMATICA MEDICA / NEUROLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

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