In this paper, passivity analysis is conducted for discrete-time stochastic neural networks
with both Markovian jumping parameters and mixed time delays. The mixed time delays …

This paper addresses the global exponential dissipativity of memristor-based recurrent
neural networks with time-varying delays. By constructing proper Lyapunov functionals and …

In this brief, the problem of passivity analysis is investigated for a class of uncertain neural
networks (NNs) with both discrete and distributed time-varying delays. By constructing a …

This paper is concerned with the sliding mode control problem for a class of continuous-time
switched neural networks with mode-dependent average dwell time (MDADT). The …

This paper investigates passivity and passification for memristive neural networks (MNNs)
with both leakage and time-varying delays. MNNs are converted into traditional neural …

A class of fractional-order memristive neural networks (FMNNs) with time delays is studied.
At first, the original network system is converted to fractional-order uncertain one to simplify …

In this paper, robust passivity problem for a class of fractional-order uncertain neural
networks (FUNNs) in the sense of Caputo's fractional derivation is investigated. In particular …

This paper presents new theoretical results on the passivity and passification of a class of
memristor-based recurrent neural networks (MRNNs) with time-varying delays. The casual …

In this paper, we study the problem of passivity analysis of fractional-order neural networks
(FONNs) with a time-varying delay. By using the Razumikhin fractional-order theorem, we …

This article deals with the robust passivity analysis problem for uncertain neural networks
with both leakage delay and additive time-varying delays by using a more general activation …