Applied Mathematics and Mechanics (English Edition) ›› 2000, Vol. 21 ›› Issue (3): 321-326.

• 论文 • 上一篇    下一篇

LONG-TIME BEHAVIOR OF TRANSIENT SOLUTIONS FOR CELLULAR NEURAL NETWORK SYSTEMS

蒋耀林   

  1. Institute of Information and Systems Sciences, School of Sciences, Xi’an Jiaotong University, Xi’an 710049, P.R.China
  • 收稿日期:1998-05-13 修回日期:1999-11-20 出版日期:2000-03-18 发布日期:2000-03-18
  • 通讯作者: Dai Shiqiang
  • 基金资助:
    the National Natural Science Foundation of China (19801027);the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry

LONG-TIME BEHAVIOR OF TRANSIENT SOLUTIONS FOR CELLULAR NEURAL NETWORK SYSTEMS

Jiang Yaolin   

  1. Institute of Information and Systems Sciences, School of Sciences, Xi’an Jiaotong University, Xi’an 710049, P.R.China
  • Received:1998-05-13 Revised:1999-11-20 Online:2000-03-18 Published:2000-03-18
  • Supported by:
    the National Natural Science Foundation of China (19801027);the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry

摘要: By establishing concept on transient solutions of general nonlinear systems converging to its equilibrium set, long-time behavior of solutions for cellular neural network systems is studied. A stability condition in generalized sense is obtained. This result reported has an important guide to concrete neural network designs.

关键词: dynamic stability, cellular neural network systems, long-time behavior of transient solutions

Abstract: By establishing concept on transient solutions of general nonlinear systems converging to its equilibrium set, long-time behavior of solutions for cellular neural network systems is studied. A stability condition in generalized sense is obtained. This result reported has an important guide to concrete neural network designs.

Key words: dynamic stability, cellular neural network systems, long-time behavior of transient solutions

中图分类号: 

APS Journals | CSTAM Journals | AMS Journals | EMS Journals | ASME Journals