Periodic solutions and exponential stability in delayed cellular neural networks

1 September 1999

journal article
research article
Published by American Physical Society (APS) in Physical Review E

Vol. 60 (3) , 3244-3248
https://doi.org/10.1103/physreve.60.3244

Abstract

Some simple sufficient conditions are given ensuring global exponential stability and the existence of periodic solutions of delayed cellular neural networks (DCNNs) by constructing suitable Lyapunov functionals and some analysis techniques. These conditions are easy to check in terms of system parameters and have important leading significance in the design and applications of globally stable DCNNs and periodic oscillatory DCNNs. In addition, two examples are given to illustrate the theory.

Keywords

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