Robust stability of different types of dynamical neural network models including time delay
parameters have been extensively studied, and many different sets of sufficient conditions …

This paper proposes a robust adaptive control method for synchronization of uncertain
chaotic neural networks with mixed delays. Uncertainty and disturbance in the networks are …

This paper deals with the problem of global exponential synchronization of a class of
memristor-based recurrent neural networks with time-varying delays based on the fuzzy …

In this paper, the boundedness and robust stability for a class of delayed complex-valued
neural networks with interval parameter uncertainties are investigated. By using …

This paper describes a new global robust stability analysis of bidirectional associative
memory (BAM) neural networks. Under parameter uncertainty, we find a new upper bound …

This paper is concerned with sample-data filtering of T–S fuzzy neural networks with interval
time-varying delays, which is formed by a fuzzy plant with time delay and a sampled-data …

This article identifies a new upper bound norm for the intervalized interconnection matrices
pertaining to delayed dynamical neural networks under the parameter uncertainties. By …

This paper proposes a new alternative sufficient condition for the existence, uniqueness and
global asymptotic stability of the equilibrium point for the class of delayed neural networks …

This paper addresses the issue of globally asymptotical synchronization of fractional-order
memristive neural networks (FMNNs) with multiple time-varying delays. First, a more …

This paper studies the existence, uniqueness and global asymptotic stability of the
equilibrium point for the class of neural networks with discrete constant time delays under …