New Results on Finite-Time Synchronization of Delayed Fuzzy Neural Networks

Abstract

This paper explores the finite-time synchronization issue of a class of delayed fuzzy neural networks (DFNNs) by constructing new Lyapunov functional. Under the novel adaptive controller, sufficient conditions are derived to assure the finite-time synchronization of the considered DFNNs. In addition, the fuzzy logics are taken into accounted in the proposed network model, which complements and extends some of the existing results where the fuzzy logics or time delays are not considered. In the end, the validity of the derived synchronization results are verified by simulation examples.