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Global exponential stability of neural networks with time-varying delay based on free-matrix-based integral inequality.
He, Yong; Ji, Meng-Di; Zhang, Chuan-Ke; Wu, Min.
Afiliación
  • He Y; School of Automation, China University of Geosciences, Wuhan 430074, China.
  • Ji MD; School of Information Science and Engineering, Central South University, Changsha, 410083, China.
  • Zhang CK; School of Automation, China University of Geosciences, Wuhan 430074, China; Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, UK. Electronic address: ckzhang@cug.edu.cn.
  • Wu M; School of Automation, China University of Geosciences, Wuhan 430074, China.
Neural Netw ; 77: 80-86, 2016 May.
Article en En | MEDLINE | ID: mdl-26945439
This paper is concerned with global exponential stability problem for a class of neural networks with time-varying delays. Using a new proposed inequality called free-matrix-based integral inequality, a less conservative criterion is proposed, which is expressed by linear matrix inequalities. Two numerical examples are given to show the effectiveness and superiority of the obtained criterion.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Redes Neurales de la Computación Tipo de estudio: Prognostic_studies Idioma: En Revista: Neural Netw Asunto de la revista: NEUROLOGIA Año: 2016 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Redes Neurales de la Computación Tipo de estudio: Prognostic_studies Idioma: En Revista: Neural Netw Asunto de la revista: NEUROLOGIA Año: 2016 Tipo del documento: Article País de afiliación: China