Stability Analysis for Generalized Neutral-type Neural Networks

摘要

The issue of asymptotic stability is discussed for generalized neutral-type neural networks with time-varying delays.A new stability condition is presented based on the Lyapunov-Krasovskii method and the inequality technique,which is dependent on the amount of delay.The proposed result is given in the form of a linear matrix inequality (LMI).Finally,an example is given to illustrate our result.This result is of great significance in designs and applications of globally stable of generalized neutral-type neural networks.