FINITE-TIME SYNCHRONIZATION FOR FUZZY SHUNTING INHIBITORY CELLULAR NEURAL NETWORKS

Abstract

Obtaining synchronization in the activity of neural networks has been a major goal for scientists of various fields. Thus, several problems based on finite-time synchronization are to be explored in this paper. The primary objectives are to design the controllers for the various models based on fuzzy shunting inhibitory cellular neural networks and determine the conditions sufficient for the systems’ solutions to reach synchronization between each other in finite time. Received by means of the wellknown in the scope of calculus maximum-value approach criteria will suggest the largest time by which the synchronization phenomenon will occur. Presented results are going to be supported by computer simulations showing the solutions’ behaviour for different initial conditions.