Global asymptotical stability of recurrent neural networks with multiple discrete delays and distributed delays

IEEE Transactions on Neural Networks

Volumn 17, Issue 6, 2006, Pages 1646-1651

  Cao, Jinde ^a   Yuan, Kun ^a   Li, Han Xiong ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Discrete delays; Distributed delays; Global asymptotical stability; Linear matrix inequality (LMI); Recurrent neural networks (RNNs); Time varying delays

Indexed keywords

ASYMPTOTIC STABILITY; DELAY CONTROL SYSTEMS; DISCRETE TIME CONTROL SYSTEMS; DISTRIBUTED PARAMETER CONTROL SYSTEMS; LYAPUNOV METHODS; NUMERICAL METHODS;

DISCRETE DELAY; DISTRIBUTED DELAY; GLOBAL ASYMPTOTICAL STABILITY; LINEAR MATRIX INEQUALITY (LMI); LYAPUNOV-KRASOVSKII FUNCTIONAL;

RECURRENT NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; INFORMATION RETRIEVAL; LETTER; METHODOLOGY; SIGNAL PROCESSING; TIME;

ALGORITHMS; INFORMATION STORAGE AND RETRIEVAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 33947139816     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2006.881488     Document Type: Article

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