Global analysis of an impulsive delayed Lotka-Volterra competition system

被引:19
|
作者
Xia, Yonghui [1 ]
机构
[1] Zhejiang Normal Univ, Dept Math, Jinhua 321004, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Global asymptotic stability; Global exponential stability; Competition system; Equilibrium; Feedback controls; PREDATOR-PREY SYSTEM; UNIFORM ASYMPTOTIC STABILITY; POSITIVE PERIODIC-SOLUTION; BOUNDARY-VALUE-PROBLEMS; DIFFERENTIAL-EQUATIONS; COMPARISON PRINCIPLE; FEEDBACK CONTROLS; NEURAL-NETWORKS; SPECIES PROBLEM; INFINITE DELAY;
D O I
10.1016/j.cnsns.2010.07.014
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, a retarded impulsive n-species Lotka-Volterra competition system with feedback controls is studied. Some sufficient conditions are obtained to guarantee the global exponential stability and global asymptotic stability of a unique equilibrium for such a high-dimensional biological system. The problem considered in this paper is in many aspects more general and incorporates as special cases various problems which have been extensively studied in the literature. Moreover, applying the obtained results to some special cases, I derive some new criteria which generalize and greatly improve some well known results. A method is proposed to investigate biological systems subjected to the effect of both impulses and delays. The method is based on Banach fixed point theory and matrix's spectral theory as well as Lyapunov function. Moreover, some novel analytic techniques are employed to study GAS and GES. It is believed that the method can be extended to other high-dimensional biological systems and complex neural networks. Finally, two examples show the feasibility of the results. (C) 2010 Elsevier By. All rights reserved.
引用
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页码:1597 / 1616
页数:20
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