Stability analysis for neural networks with time-varying delay based on quadratic convex combination

IEEE Transactions on Neural Networks and Learning Systems

Volumn 24, Issue 4, 2013, Pages 513-521

  Zhang, Huaguang ^a,b   Yang, Feisheng ^a,b   Liu, Xiaodong ^c,d   Zhang, Qingling ^e  

^a NORTHEASTERN UNIVERSITY   (China)

^b STATE KEY LABORATORY OF SYNTHETICAL AUTOMATION FOR PROCESS INDUSTRIES   (China)

^c DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^d DALIAN MARITIME UNIVERSITY   (China)

^e NORTHEASTERN UNIVERSITY   (China)

Author keywords

Quadratic convex combination; recurrent neural network (RNN); stability analysis; time varying delay

Indexed keywords

CONVEX COMBINATIONS; DELAY DEPENDENT STABILITY CRITERION; JENSEN'S INEQUALITY; NUMERICAL EXAMPLE; RECURRENT NEURAL NETWORK (RNN); STABILITY ANALYSIS; STABILITY PROBLEM; TIME-VARYING DELAY;

LINEAR MATRIX INEQUALITIES; RECURRENT NEURAL NETWORKS; STABILITY CRITERIA;

TIME VARYING CONTROL SYSTEMS;

ARTIFICIAL NEURAL NETWORK; TIME;

NEURAL NETWORKS (COMPUTER); TIME FACTORS;

EID: 84875882811     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2012.2236571     Document Type: Article

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