Stability problems of continuous-time recurrent neural networks have been extensively
studied, and many papers have been published in the literature. The purpose of this paper is …

This paper investigates the event-triggered synchronization control of discrete-time neural
networks. The main highlights are threefold:(1) a new event-triggered mechanism (ETM) is …

This article visits the intermittent quasisynchronization control of delayed discrete-time
neural networks (DNNs). First, an event-dependent intermittent mechanism is originally …

This paper investigates the problems of impulsive stabilization and impulsive
synchronization of discrete-time delayed neural networks (DDNNs). Two types of DDNNs …

Sufficient conditions are obtained for the existence and asymptotic stability of a unique
equilibrium of a Hopfield-type neural network with Lipschitzian activation functions without …

This paper visits the design of event-triggered static and dynamic feedback controllers for
discrete-time linear systems. For the efficiency of energy, we make the first attempt to devise …

Continuous-time additive Hopfield-type neural networks with impulses Page 1 J. Math. Anal.
Appl. 290 (2004) 436–451 www.elsevier.com/locate/jmaa Continuous-time additive Hopfield-type …

Stochastic effects to the stability property of Hopfield neural networks (HNN) with discrete
and continuously distributed delay are considered. By using the method of variation …

Convergence dynamics of continuous-time bidirectional neural networks with constant
transmission delays are studied. Without assuming the symmetry of synaptic connection …

This paper is concerned with synchronization for fractional-order discrete-time neural
networks (FDTNNs) without time delays and with time delays, respectively. First of all, the …