An improved global asymptotic stability criterion for delayed cellular neural networks

IEEE Transactions on Neural Networks

Volumn 17, Issue 1, 2006, Pages 250-252

  He, Yong ^a   Wu, Min ^a   She, Jin Hua ^b  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b TOKYO UNIVERSITY OF TECHNOLOGY   (Japan)

Author keywords

Delayed cellular neural networks; Global asymptotic stability; Linear matrix inequality (LMI); S procedure

Indexed keywords

ASYMPTOTIC STABILITY; LYAPUNOV METHODS; MATHEMATICAL MODELS; MATRIX ALGEBRA;

DELAYED CELLULAR NEURAL NETWORKS; GLOBAL ASYMPTOTIC STABILITY; LINEAR MATRIX INEQUALITY (LMI); LYAPUNOV-KRASOVSKII FUNCTIONAL; S-PROCEDURE;

CELLULAR NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; IMAGE PROCESSING; LETTER; PRINCIPAL COMPONENT ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE PROCESSING, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS;

EID: 33144454968     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2005.860874     Document Type: Article

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