文献类型：期刊文献

英文题名：EXISTENCE ANALYSIS OF STATIONARY SOLUTIONS FOR RTD-BASED CELLULAR NEURAL NETWORKS

作者：Ke, Yun-Quan[1];Miao, Chun-Fang[1]

机构：[1]Shaoxing Univ, Dept Math, Shaoxing 312000, Zhejiang, Peoples R China

年份：2010

卷号：20

期号：7

起止页码：2123

外文期刊名：INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS

收录：SCI-EXPANDED(收录号：WOS:000281734500007)、、EI(收录号：20103813242161)、Scopus(收录号：2-s2.0-77956618199)、WOS

基金：This work was supported by the National Natural Science Foundation of China (No. 10871226, No. 10875078).

语种：英文

外文关键词：RTD-based cellular neural networks; Chua's driving-point plot; stationary solution

外文摘要：In this letter, we investigate the stationary solutions of multiple output levels RTD-based cellular neural networks (CNN) by using Chua's driving-point plot methods. Moreover, we present some sufficient conditions, that are concise and easy to be validated, to determine the existence of the stationary solutions. Finally, we give four illustrative examples to show the effectiveness of our results.