The chaotification of discrete Hopfield neural networks via impulsive control  

作　　者：刘娜 关治洪 

机构地区：[1]Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074

出　　处：《Chinese Physics Letters》2009年第7期55-57,共3页中国物理快报（英文版）

基　　金：Supported by the National Natural Science Foundation of China under Grant Nos 60834002, 60873021, 60628301 and 60603007, and the International Science and Technology Cooperative Project of China under Grant No 2008DFA12150.

摘　　要：The chaotification of discrete Hopfield neural networks is studied with impulsive control techniques. No matter whether the original systems are stable or not, chaotilication theorems for discrete Hopfield neural networks are derived, respectively. Finally, the effectiveness of the theoretical results is illustrated by some numerical examples.The chaotification of discrete Hopfield neural networks is studied with impulsive control techniques. No matter whether the original systems are stable or not, chaotilication theorems for discrete Hopfield neural networks are derived, respectively. Finally, the effectiveness of the theoretical results is illustrated by some numerical examples.

关 键 词：Instrumentation and measurement Statistical physics and nonlinear systems 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TP13[自动化与计算机技术—控制科学与工程]