Global consensus for discrete-time competitive systems

被引:3
|
作者
Shih, Chih-Wen [1 ]
Tseng, Jui-Pin [1 ]
机构
[1] Natl Chiao Tung Univ, Dept Appl Math, Hsinchu, Taiwan
关键词
GROSSBERG NEURAL-NETWORKS; STABILITY; DELAYS; DYNAMICS;
D O I
10.1016/j.chaos.2007.12.005
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Grossberg established a remarkable convergence theorem for a class of competitive systems without knowing and using Lyapunov function for the systems. We present the parallel investigations for the discrete-time version of the Grossberg's model. Through developing an extended component-competing analysis for the coupled system, without knowing a Lyapunov function and applying the LaSalle's invariance principle, the global pattern formation or the so-called global consensus for the system can be achieved. A numerical simulation is performed to illustrate the present theory. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:302 / 310
页数:9
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