A set of criteria is presented for the global exponential stability and the ลฝ . existence of periodic solutions of delayed cellular neural networks DCNNs by constructing suitable Lyapunov functionals, introducing many parameters and combining with the elementary inequality technique. These criteria
On stability of delayed cellular neural networks
โ Scribed by Jinde Cao
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 73 KB
- Volume
- 261
- Category
- Article
- ISSN
- 0375-9601
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โฆ Synopsis
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 functionals and applying some j j j j j j analysis techniques. These criteria are independent of delays and possess infinitely adjustable real parameters, which are of theoretical and applicable important significance in signal processing, especially in moving image treatment and the design of networks.
๐ SIMILAR VOLUMES
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 impor
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