Volume: 17, Issue: 12(2007)
pp. 4403-4408 DOI: 10.1142/S0218127407020051
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Abstract |
Full Text (PDF, 137KB)
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References
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| Title: |
EXPONENTIAL CONVERGENCE OF CELLULAR NEURAL NETWORKS WITH CONTINUOUSLY DISTRIBUTED DELAYS |
| Author(s): |
BINGWEN LIU
Author for correspondence.
College of Mathematics and Information Science, Jiaxing University, Jiaxing, Zhejiang 314001, P. R. ChinaZHAOHUI YUAN
College of Mathematics and Econometrics, Hunan University, Changsha 410082, P. R. China
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| History: |
Received August 9, 2006
Revised December 19, 2006
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| Abstract: |
In this paper the convergence behavior of delayed cellular neural networks without almost periodic coefficients are considered. Some sufficient conditions are established to ensure that all solutions of the networks converge exponentially to an almost periodic function, which are new, and also complement previously known results. |
| Keywords: |
Cellular neural networks; exponential convergence; almost periodic function; continuously distributed delays
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