WEIGHTED PSEUDO ALMOST-PERIODIC SOLUTIONS OF SHUNTING INHIBITORY CELLULAR NEURAL NETWORKS WITH MIXED DELAYS

In this paper, we prove the existence and the global exponential stability of the unique weighted pseudo almost-periodic solution of shunting inhibitory cellular neural networks with mixed time-varying delays comprising different discrete and distributed time delays. Some sufficient conditions are g...

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Vydané v:	Acta mathematica scientia Ročník 36; číslo 6; s. 1662 - 1682
Hlavný autor:	Mohammed Salah M＇HAMDI Chaouki AOUITI Abderrahmane TOUATI Adel M. ALIMI Vaclav SNASEL
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.11.2016 Department of Mathematics, University of Carthage, Faculty of Sciences of Bizerta,BP W, 7021 Zarzouna, Bizerta, Tunisia%REGIM-lab: Research Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax(ENIS), BP 1173, Sfax 3038, Tunisia%VSB Technical University of Ostrava, Czech Republic
Predmet:	34C27 34D20 34K05 34K40 47H10 92B20 global exponential stability mixed delays shunting inhibitory cellular neural networks weighted pseudo almost-periodic solution 伪概周期解全局指数稳定性分流加权变时滞混合细胞神经网络解的存在性 global exponential stability 34C27 34K40 47H10 shunting inhibitory cellular neural networks mixed delays 34D20 34K05 92B20 weighted pseudo almost-periodic solution
ISSN:	0252-9602, 1572-9087
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