Weighted pseudo almost automorphic solutions for neutral type fuzzy cellular neural networks with mixed delays and D operator in Clifford algebra

被引：36

作者：

Aouiti, Chaouki ^{[1
]}

Dridi, Farah ^{[1
]}

机构：

[1] Univ Carthage, Fac Sci Bizerta, Dept Math Math & Applicat UR13ES47, BP W, Zarzouna 7021, Bizerta, Tunisia

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2020年 / 51卷 / 10期

关键词：

Fuzzy cellular neural networks; weighted pseudo almost automorphic functions; Doperator; Clifford algebra; ALMOST-PERIODIC SOLUTIONS; GLOBAL EXPONENTIAL STABILITY; PROPORTIONAL DELAYS; CONVERGENCE; SYNCHRONIZATION; SICNNS;

D O I：

10.1080/00207721.2020.1777345

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The main aim of this work is to study a class of neutral type Fuzzy Cellular Neural Networks (FCNNs) with mixed delays and D operator. New criteria are established for the existence, uniqueness and global exponential stability of weighted pseudo almost automorphic solutions for the addressed model in Clifford algebra. Our approach is based on Banach's fixed point principle and differential inequality techniques. Finally, numerical example is given to demonstrate the effectiveness of the theoretical results.

引用

收藏

页码：1759 / 1781

页数：23

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