Journal
APPLIED MATHEMATICS AND COMPUTATION
Volume 196, Issue 1, Pages 236-244Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.amc.2007.05.047
Keywords
neural networks; neutral-type; LMI; global asymptotic stability; Lyapunov method
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Funding
- National Research Foundation of Korea [과C6B1621] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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In this paper, the global asymptotic stability of delayed cellular neural networks of neutral-type is investigated. A novel delay-dependent criterion for the stability using the Lyapunov stability theory and linear matrix inequality (LMI) framework is presented. Since the condition is dependent on the size of time delay, it is usually less conservative than delay-independent ones. Two numerical examples are given to show the effectiveness of proposed method. (C) 2007 Elsevier Inc. All rights reserved.
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