STABILITY AND DYNAMICS OF DELAY-TYPE GENERAL AND CELLULAR NEURAL NETWORKS

被引：231

作者：

ROSKA, T

WU, CW

BALSI, M

CHUA, LO

机构：

[1] Electronics Research Laboratory, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 1992年 / 39卷 / 06期

关键词：

D O I：

10.1109/81.153647

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：

Delay-type general neural networks and cellular neural networks (CNN's) proved to be important in different application areas including motion detection. In this paper, several stability results and additional properties of the delay-type neural network and CNN dynamics are proved. As a typical example, it is proved that if the feedback and delayed feedback matrices A and A(tau) are non-negative and the sum (A + A(tau)) is irreducible, then the neural network is stable.

引用

页码：487 / 490

页数：4

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