In this paper, the Takagi–Sugeno (T–S) fuzzy model representation is extended to the
stability analysis for cellular neural networks (CNNs) with mixed time-varying delays and …

This paper demonstrates that there is an exponentially stable unique equilibrium state in a
Hopfield-type neural network that is subject to quite large impulses that are not too frequent …

Fixed circle problems belong to a realm of problems in metric fixed point theory. Specifically,
it is a problem of finding self mappings which remain invariant at each point of the circle in …

The paper discusses exponential stability of distributed delayed and impulsive cellular
neural networks with partially Lipschitz continuous activation functions. By relative nonlinear …

This paper addresses the issue of the convergence dynamics of stochastic Cohen-
Grossberg neural networks (SCGNNs) with white noise, whose state variables are described …

In this paper, the globally exponential stability of Cohen–Grossberg neural networks with
continuously distributed delays is investigated. New theoretical results are presented in the …

The problem of delay-dependent asymptotic stability criteria for neural networks (NNs) with
time-varying interval delay is investigated. A new class of Lyapunov functional is constructed …

In this paper, we investigate the existence and uniqueness of equilibrium point for fuzzy
interval delayed neural networks with impulses on time scales. And we give the criteria of …

This paper demonstrates that there is a discrete-time analogue which does not require any
restriction on the size of the time-step in order to preserve the exponential stability of an …

In this paper, we investigate local robust stability of static neural network (SNN) with S-type
distributed delays. We derive some new sufficient conditions for local robust stability of …