Stability Analysis for Generalized Neutral-type Neural Networks

摘要：

　　The issue of asymptotic stability is discussed for generalized neutral-type neural networks with time-varying delays.A new stability condition is presented based on the Lyapunov-Krasovskii method and the inequality technique,which is dependent on the amount of delay.The proposed result is given in the form of a linear matrix inequality (LMI).Finally,an example is given to illustrate our result.This result is of great significance in designs and applications of globally stable of generalized neutral-type neural networks.

关键词： neutral-type generalized neural networks linear matrix inequality asymptotic stability

作者: Guoquan Liu Simon X.Yang

作者单位: College of Automation, Chongqing University, Chongqing, 400044, China College of Automation, Chongqing University, Chongqing, 400044, China;School of Engineering, Univers

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 1387-1391

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）