Research Repository

Delay-dependent stability analysis for switched neural networks with time-varying delay

Wu, Zheng-Guang and Shi, Peng and Su, Hongye and Chu, Jian (2011) Delay-dependent stability analysis for switched neural networks with time-varying delay. IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, 41 (6). pp. 1522-1530. ISSN 1083-4419

Full text for this resource is not available from the Research Repository.

Abstract

In this paper, the problem of stability analysis is investigated for switched neural networks with time-varying delay using linear matrix inequality (LMI) approach. By taking advantage of the average dwell time method, two sufficient conditions are developed to ensure the global exponential stability of the considered neural networks, which are delay-dependent and formulated by LMIs. The state decay estimate is explicitly given. Numerical examples are provided to demonstrate the effectiveness and feasibility of the proposed techniques.

Item Type: Article
Uncontrolled Keywords: ResPubID24867, LMI, average dwell time method, delay-dependent stability analysis, global exponential stability, linear matrix inequality, switched neural networks, time-varying delay
Subjects: FOR Classification > 0802 Computation Theory and Mathematics
FOR Classification > 0906 Electrical and Electronic Engineering
SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Depositing User: VUIR
Date Deposited: 07 Mar 2013 03:35
Last Modified: 07 Mar 2013 03:35
URI: http://vuir.vu.edu.au/id/eprint/10364
DOI: 10.1109/TSMCB.2011.2157140
ePrint Statistics: View download statistics for this item
Citations in Scopus: 39 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar