食饵具有流行病的阶段结构捕食模型

本文考虑了一类食饵具有流行病和阶段结构的脉冲时滞捕食模型．利用脉冲时滞微分方程的相关理论和方法，获得易感害虫根除周期解全局吸引的充分条件以及当脉冲周期在一定范围内时，天敌与易感害虫可以共存且易感害虫的密度可以控制在经济危害水平E（EIL）之下．我们的结论为现实的害虫管理提供了可靠的策略依据．     

扩散的具有时滞的非自治捕食-食饵系统的持久性和全局吸引性

讨论当系数满足一定的条件时,具有连续时滞和Ho llingII类功能性反应的非自治扩散捕食-食饵系统的持久性,并给出系统周期解全局吸引的充分条件.     

The attractivity of functional hereditary integral equations

In this paper, the problem of attractivity of solutions for functional hereditary integral equations is initiated. A hereditary integral equation is converted into a second kind Volterra integral equation of convolution type by use of the property of convolution. Sufficient conditions for the existence of attractive solutions are established according to the fixed point theorem. The conclusions presented in this paper extend some published results. The effectiveness of the proposed results is illustrated by three numerical examples.     

Global attractivity for impulsive population dynamics with delay arguments

This article investigates the global attractivity for impulsive population dynamics with delay arguments. Several sufficient conditions are obtained to ensure the global attractivity of the zero solution. These conditions do not require the boundedness of delay arguments, nor do they require some strict conditions on impulsive functions.     

Stability analysis in Lagrange sense for a non-autonomous Cohen–Grossberg neural network with mixed delays

The paper discusses the global exponential stability in the Lagrange sense for a non-autonomous Cohen–Grossberg neural network (CGNN) with time-varying and distributed delays. The boundedness and global exponential attractivity of non-autonomous CGNN with time-varying and distributed delays are investigated by constructing appropriate Lyapunov-like functions. Moreover, we provide verifiable criteria on the basis of considering three different types of activation function, which include both bounded and unbounded activation functions. These results can be applied to analyze monostable as well as multistable biology neural networks due to making no assumptions on the number of equilibria. Meanwhile, the results obtained in this paper are more general and challenging than that of the existing references. In the end, an illustrative example is given to verify our results.     

Global attractivity of positive periodic solutions for nonlinear impulsive systems

In this paper, the existence, uniqueness and global attractivity of positive periodic solutions for nonlinear impulsive systems are studied. Firstly, existence conditions are established by the method of lower and upper solutions. Then uniqueness and global attractivity are obtained by developing the theories of monotone and concave operators. And lastly, the method and the results are applied to the impulsive n$n$-species cooperative Lotka–Volterra system and a model of a single-species dispersal among n$n$-patches.     

一类有理递归序列的全局吸引性

研究递归序列xn 1=(a bxn-k)/(A-xn),n=0,1,…,的有界性,周期性和全局吸引性,其中a≥0,b,A>0为实数,初始条件x-k,…,x0为任意实数,得到方程的正平衡点是一个全局吸引子,且其吸引域依赖于参数的限制条件.     

DYNAMICAL BEHAVIOR OF THE GENERALIZED COMPLEX LORENZ CHAOTIC SYSTEM

The purpose of this paper is to investigate the boundedness and global attractivity of the complex Lorenz system: x y x ? ? ? ? ?, y x cy dxz ? ? ? ? , ? ? 1 , 2 z z xy xy ? ? ? ? ? where ? ? ? , , , , c d are real parameters, x and y are complex variables, z is a real variable, an overbar denotes complex conjugate variable and dots represent derivatives with respect to time. This system arises in many important applications in laser physics and rotating fluids dynamics. It is very interesting that we find that this system exhibits chaos phenomenon for the given parameters. Using generalized Lyapunov-like functions, we prove the existence of the ultimate bound set and the globally exponentially attractive set in this generalized complex Lorenz system. The rate of the trajectories is also obtained. Numerical simulations show the effectiveness and correctness of the conclusions. Finally, we present an application of our results that obtained in this paper.