Fixed Deviation Synchronization of Neural Networks with Piecewise Constant Argument

摘要

This paper is dedicated to discuss the fixed deviation synchronization for generalized type neural networks with piecewise constant argument. Based on fixed deviation stability theory, by utilizing discontinuous controller, a sufficient condition is derived to ensure the fixed deviation synchronization between two identical non-directed neural networks. At last, a simulation example is offered to verify the validity of this fixed deviation synchronization criterion.