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• W3149557018 abstract "This paper focuses on the existence, uniqueness and global exponential stability of periodic solution for Cohen-Grossberg neural networks (CGNN) with periodic coefficients and time-varying delays. Some novel delay- independent criteria are obtained by using contraction mapping theorem and comparison principle. The present results improve and extend those in many publications, and shows that under some delay-independent criteria, the CGNNs may admit a periodic solution, which is globally exponential stable via impulsive controller even if it is originally unstable or divergent. Two examples with numerical simulations are given to demonstrate the effi- ciency of theoretical results." @default.
• W3149557018 created "2021-04-13" @default.
• W3149557018 creator A5007982481 @default.
• W3149557018 date "2014-01-01" @default.
• W3149557018 modified "2023-09-27" @default.
• W3149557018 title "Existence and exponential stability of periodic solution of delayed Cohen-Grossberg neural networks via impulsive control" @default.
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• W3149557018 hasPublicationYear "2014" @default.
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