Event-based state estimation for delayed neural network systems with quantization

Abstract

This paper presents an investigation of the state estimation problem for a class of delayed neural network systems with event-triggered communication and quantization.The network bandwidth burden is reduced by using both an event-triggered communication scheme and quantization with which the state estimator design for delayed neural network systems is concerned.Considering the influence of the communication network, an event-based state estimator error dynamic model for delayed neural network systems is firstly constructed