Long-Time Behavior of Transient Solutions for Cellular Neural Network Systems

Jiang Yaolin

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Article Navigation > Applied Mathematics and Mechanics > 2000 > 21(3): 285-289

Jiang Yaolin. Long-Time Behavior of Transient Solutions for Cellular Neural Network Systems[J]. Applied Mathematics and Mechanics, 2000, 21(3): 285-289.

Citation:

Jiang Yaolin. Long-Time Behavior of Transient Solutions for Cellular Neural Network Systems[J]. Applied Mathematics and Mechanics, 2000, 21(3): 285-289.

Citation:

Jiang Yaolin. Long-Time Behavior of Transient Solutions for Cellular Neural Network Systems[J]. Applied Mathematics and Mechanics, 2000, 21(3): 285-289.

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Long-Time Behavior of Transient Solutions for Cellular Neural Network Systems

Jiang Yaolin

Institute of Information and Systems Sciences, School of Sciences, Xi'an Jiaotong University, Xi'an 710049, P R China

Received Date: 1998-05-13
Rev Recd Date: 1999-11-20
Publish Date: 2000-03-15

Abstract

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.
- dynamic stability,
- cellural neural network systems,
- long-time behavior of transient solutions

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References(8)

References

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