GLOBAL EXPONENTIAL STABILITY CRITERIA FOR IMPULSIVE CELLULAR NEURAL NETWORKS WITH TIME – VARYING DELAYS
About this article
Published: 28/02/19Abstract
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
Full Text:
PDF (Tiếng Việt)Refbacks
- There are currently no refbacks.