STABILITY OF CELLULAR NEURAL NETWORKS AND DELAYED CELLULAR NEURAL NETWORKS WITH NONPOSITIVE TEMPLATES AND NONMONOTONIC OUTPUT FUNCTIONS

被引：117

作者：

GILLI, M

机构：

[1] Politecnico di Torino, Dipartimento di Elettronica, I-10129 Torino

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 1994年 / 41卷 / 08期

关键词：

D O I：

10.1109/81.311541

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper the problem of the stability of Cellular Neural Networks (CNN's) and Delayed Cellular Neural Networks (DCNN's) is addressed by means of Lyapunov functions (functionals in the delayed case); new classes of nonpositive templates, describing CNN's and DCNN's, are shown to be stable and some conditions are found ensuring the complete stability of dominant template DCNN's and CNN's with nonmonotonic output functions.

引用

页码：518 / 528

页数：11

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