Abstract In this paper, we first consider the stability problem for a class of stochastic quaternion-valued neural networks with time-varying delays. Next, cannot explicitly decompose systems into equivalent real-valued systems; by using Lyapunov functional and analysis techniques, can obtain sufficient conditions mean-square exponential input-to-state networks. Our results are completely new. ...

This note studies the exponential stability of nonlinear stochastic systems with time delay. Firstly, a more general Lyapunov-Krasovskii functional is constructed, and based on Ito calculus rules for stochastic systems, a novel delay-dependent sufficient condition for exponential stability in mean square is derived in terms of linear matrix inequalities, and it is proved in theory that the obta...

Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract In this paper, stochastic functional differential equations with impulses are considered. By employing Gronwall-Bellman inequality, the stochastic analytic technique and the properties of operator semigroup, the sufficient con...

Positive results are derived concerning the long time dynamics of fixed stepsize numerical simulations of stochastic differential equation systems with Markovian switching. Euler–Maruyama and implicit theta-method discretizations are shown to capture exponential mean-square stability for all sufficiently small timesteps under appropriate conditions. Moreover, the decay rate, as measured by the ...

By using the Lyapunov functional method, stochastic analysis, and LMI (linear matrix inequality) approach, the mean square exponential stability of an equilibrium solution of uncertain stochastic Hopfield neural networks with delayed is presented. The proposed result generalizes and improves previous work. An illustrative example is also given to demonstrate the effectiveness of the proposed re...

In this paper we shall discuss the exponential stability in mean square for a neutral stochastic diierential diierence equation of the form dx(t) ? G(x(t ?))] = f(t; x(t); x(t ?))dt + (t; x(t); x(t ?))dw(t). In the case when (t; x; y) 0 this neutral stochastic diierential diierence equations becomes a deterministic neutral diierential diierence equations d dt x(t)?G(x(t?))] = f(t; x(t); x(t?))....

The exponential stability, in both mean square and almost sure senses, for energy solutions to a nonlinear and non-autonomous stochastic PDEs with finite memory is investigated. Various criteria for stability are obtained. An example is presented to demonstrate the main results.

This paper is mainly concerned with the globally exponential stability in mean square of uncertain neutral stochastic systems with mixed delays and Markovian jumping parameters. The mixed delays are comprised of the discrete interval time-varying delays and the distributed time delays. Taking the stochastic perturbation and Markovian jumping parameters into account, some delaydependent sufficie...