GLOBAL EXPONENTIAL STABILITY CRITERIA FOR IMPULSIVE CELLULAR NEURAL NETWORKS WITH TIME – VARYING DELAYS | Hiền | TNU Journal of Science and Technology

GLOBAL EXPONENTIAL STABILITY CRITERIA FOR IMPULSIVE CELLULAR NEURAL NETWORKS WITH TIME – VARYING DELAYS

About this article

Published: 28/02/19

Authors

1. Dang Thi Thu Hien Email to author, Hoa Lu University, Ninh Binh
2. Nguyen Thi Nhan, Hoa Lu University, Ninh Binh
3. Nguyen Thi Hien, Hoa Lu University, Ninh Binh

Abstract


In this paper, we study the model of impulsive cellular neural networks with time – varying delays, which is an extension of the model in [1], [2]. Based on the construction of the Lyapunov function and the use of some analytical techniques such as the properties of continuous functions on a segment, the properties of , and... we will build new global exponential stability criteria for the  equilibrium point of the networks mentioned above. In addition, we also take example to illustrate the results achieved.

Keywords


Global expontial stability, cellular neural networks, impulsive, delay, lyapunov function

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