Passivity and passification of memristor-based recurrent neural networks with time-varying delays

IEEE Transactions on Neural Networks and Learning Systems

Volumn 25, Issue 11, 2014, Pages 2099-2109

  Guo, Zhenyuan ^a,b   Wang, Jun ^b   Yan, Zheng ^b  

^a HUNAN UNIVERSITY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Linear matrix inequality (LMI); memristor; passification; passivity; recurrent neural network.

Indexed keywords

RECURRENT NEURAL NETWORKS;

MEMRISTOR; PASSIFICATION; PASSIVITY; PASSIVITY AND PASSIFICATION; TIME-VARYING DELAY;

LINEAR MATRIX INEQUALITIES;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; HUMAN; NONLINEAR SYSTEM; REACTION TIME; TIME;

ALGORITHMS; HUMANS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; REACTION TIME; TIME FACTORS;

EID: 84908090755     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2014.2305440     Document Type: Article

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