中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Nonlinear measures: A new approach to exponential stability analysis for Hopfield-type neural networks

文献类型:期刊论文

作者Qiao, H; Peng, J; Xu, ZB
刊名IEEE TRANSACTIONS ON NEURAL NETWORKS
出版日期2001-03
卷号12期号:2页码:360-370
关键词global exponential stability Hopfield-type neural networks local exponential stability matrix measure nonlinear measures
通讯作者Qiao, H
英文摘要In this paper, a new concept called nonlinear measure is introduced to quantify stability of nonlinear systems in the way similar to the matrix measure for stability of linear systems. Based on the new concept, a novel approach for stability analysis of neural networks is developed. With this approach, a series of new sufficient conditions for global and focal exponential stability of Hopfield type neural networks is presented, which generalizes those existing results. By means of the introduced nonlinear measure, the exponential convergence rate of the neural networks to stable equilibrium point is estimated, and, for local stability, the attraction region of the stable equilibrium point is characterized. The developed approach tan be generalized to stability analysis of other general nonlinear systems.
源URL[http://ir.ia.ac.cn/handle/173211/12583]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
作者单位City Univ Hong Kong, Dept Mfg Engn & Engn Management
推荐引用方式
GB/T 7714
Qiao, H,Peng, J,Xu, ZB. Nonlinear measures: A new approach to exponential stability analysis for Hopfield-type neural networks[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS,2001,12(2):360-370.
APA Qiao, H,Peng, J,&Xu, ZB.(2001).Nonlinear measures: A new approach to exponential stability analysis for Hopfield-type neural networks.IEEE TRANSACTIONS ON NEURAL NETWORKS,12(2),360-370.
MLA Qiao, H,et al."Nonlinear measures: A new approach to exponential stability analysis for Hopfield-type neural networks".IEEE TRANSACTIONS ON NEURAL NETWORKS 12.2(2001):360-370.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。