The design of modern wireless networks, which involves decision making and parameter
optimization, is quite challenging due to the highly dynamic, and often unknown …

In general, a proportional function is obviously not antiperiodic, yet a very interesting fact in
this paper shows that it is possible there is an antiperiodic solution for some proportional …

In this paper, we consider a class of fuzzy neural networks of fractional-order and
proportional time delay. We derive sufficient conditions for the finite-time stability of the …

The proportional delay is an unbounded time-varying delay, which is different from
unbounded distributed delays. The neural networks system with proportional delays belongs …

Mobile ad-hoc networks (MANETs) are wireless networks comprising of small, battery
powered mobile devices/nodes. All these nodes communicate cooperatively without fixed …

This paper presents some new results on the existence, uniqueness and generalized
exponential stability of a positive equilibrium for positive recurrent neural networks with multi …

This article mainly explores a class of proportional delayed high-order inertial Hopfield
neural networks (HIHNNs) with time-varying coefficients. Without using the reduced-order …

Abstract Mobile Adhoc Networks (MANETs) provide special extemporary applications and
services in a shorter time at anytime and anywhere. In MANETs, nodes require well …

This paper is concerned with the problem of a passivity analysis for a class of memristor-
based neural networks with multiple proportional delays and the state estimator is designed …

Exponential cluster synchronization of neural networks with proportional delays is studied in
this paper. Unlike previous constant delay or bounded time delay, we consider the time …