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On the Exponential Stability and Periodic Solutions of Delayed Cellular Neural Networks

โœ Scribed by Jinde Cao; Qiong Li

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
110 KB
Volume
252
Category
Article
ISSN
0022-247X

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โœฆ Synopsis

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 have important leading significance in the design and applications of globally stable DCNNs and periodic oscillatory DCNNs. In addition, earlier results are extended and improved; other results are contained. Two examples are given to illustrate the theory. แฎŠ

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