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.