In this paper, a generalized neural network of Cohen-Grossberg type with both discrete time-varying and distributed unbounded delays is considered. Based on M-matrix theory, sufficient conditions are established to ensure the existence and global attractivity of an equilibrium point. The global exponential stability of the equilibrium is also addressed but for the model with bounded discrete ti...

*Correspondence: [email protected] School of Mathematics and Physics, Changzhou University, Changzhou, Jiangsu 213164, China Abstract In this paper, we provide a new approach for discussing the solvability of a class of operator equations by establishing fixed point theorems in locally convex spaces. Our results are obtained extend some Krasnosel’skii type fixed point theorems. As an applicatio...

We analyze certain chemical reaction networks and show that every solution converges to some steady state. The reaction kinetics are assumed to be monotone but otherwise arbitrary. When diffusion effects are taken into account, the conclusions remain unchanged. The main tools used in our analysis come from the theory of monotone dynamical systems. We review some of the features of this theory a...

In this work we focus on nondifferentiable Lyapunov functions where we derive conditions which ensure the existence of time-dependent upper bounds for such functions. The aforementioned conditions are based on the notion of upper right-hand Dini derivative of Lyapunov functions. As an application we study the attractivity and the asymptotic stability of the time–varying class of systems ẋ(t) = ...

In this paper, we consider a class of impulsive stochastic Volterra-Levin equations. By establishing a new integral inequality, some sufficient conditions for the existence and global attractivity of periodic solution for impulsive stochastic Volterra-Levin equations are given. Our results imply that under the appropriate linear periodic impulsive perturbations, the impulsive stochastic Volterr...

This paper is devoted to the research on global dynamics for a large class of evolution systems with uniform asymptotic annihilation. We first introduce concept spectral radius and study associated principal eigenvalue problem. Then we establish annihilation threshold such systems. Finally apply developed theory investigate attractivity positive fixed point an integro-difference equation propag...

Abstract In this paper, we derive criteria of global attractivity a (possibly constant) positive periodic solution in non-autonomous systems delay differential equations. Our approach can be viewed as the extension for folkloric connection between discrete dynamics and scalar It is worth mentioning that provide delay-dependent attraction cover best independent conditions. We apply our results t...

We introduce and study a Gompertz model with time delay and impulsive perturbations on the prey. By using the discrete dynamical system determined by the stroboscopic map, we obtain the sufficient conditions for the existence and global attractivity of the “predator-extinction” periodic solution. With the theory on the delay functional and impulsive differential equation, we obtain the appropri...

A class of fuzzy Cohen-Grossberg neural networks with distributed delay and variable coefficients is discussed. It is neither employing coincidence degree theory nor constructing Lyapunov functionals, instead, by applying matrix theory and inequality analysis, some sufficient conditions are obtained to ensure the existence, uniqueness, global attractivity and global exponential stability of the...

In this paper, we formulate an nonautonomous impulsive population model with nonlinear interspecific competitive terms, and introduce the random perturbation of the birth rates of two species into this model. A good understanding of the extinction, stochastic permanence and global attractivity of system is obtained. Also, the limit of the average in time of the sample paths of every component o...