Nonlinear measures: A new approach to exponential stability analysis for Hopfield-type neural networks

IEEE Transactions on Neural Networks

Volumn 12, Issue 2, 2001, Pages 360-370

  Qiao, Hong ^a   Peng, Jigen ^b   Xu, Zong Ben ^b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Global exponential stability; Hopfield type neural networks; Local exponential stability; Matrix measure; Nonlinear measures

Indexed keywords

MATRIX ALGEBRA; NONLINEAR CONTROL SYSTEMS; PATTERN RECOGNITION; SYSTEM STABILITY; TRANSFER FUNCTIONS;

GLOBAL EXPONENTIAL STABILITY (GES); HOPFIELD-TYPE NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 0035272372     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.914530     Document Type: Article

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