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Stability analysis of delayed cellular neural networks

โœ Scribed by Jinde Cao; Dongming Zhou

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
74 KB
Volume
11
Category
Article
ISSN
0893-6080

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โœฆ Synopsis

In this paper, the problems of stability in a class of delayed cellular neural networks (DCNN) are studied; some new stability criteria are obtained by using the Lyapunov functional method and some analysis techniques. These criteria can be used to design globally stable networks and thus have important significance in both theory and application.

๐Ÿ“œ SIMILAR VOLUMES

On stability of delayed cellular neural
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## ลฝ . A set of sufficient criteria are found ensuring the global asymptotic stability of delayed cellular neural networks DCNN with more general output functions by introducing ingeniously real parameters a ลฝ . s 1,a q b s 1,h q z s 1,h q z s 1 j s 1,2, PPP ,n , constructing suitable Lyapunov fu

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In this note, we address the problem of the existence of a unique equilibrium point and present delay-dependent global asymptotical stability for cellular neural networks with time-delay. The LMI-based criteria are checkable easily. An example illustrates that the proposed conditions provide useful