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Stability of Traveling Waves Solutions for Nonlinear Cellular Neural Networks with Distributed Delays

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摘要 This paper investigates the exponential stability of traveling wave solutions for nonlinear delayed cellular neural networks.As a continuity of the past work(Wu and Niu,2016;Yu,et al.,2011)on the existence and uniqueness of the traveling wave solutions,it is very reasonable and interesting to consider the exponential stability of the traveling wave solutions.By the weighted energy method,comparison principle and the first integral mean value theorem,this paper proves that,for all monotone traveling waves with the wave speed c<c1*<0 or c>c2*>0,the solutions converge time-exponentially to the corresponding traveling waves,when the initial perturbations decay at some fields.
出处 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2022年第1期18-31,共14页 系统科学与复杂性学报(英文版)
基金 supported by the Natural Science Foundation of Shandong Province under Grant No.ZR2017MA045 the National Natural Science Foundation of China under Grant No.61873144。
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