Exponential stability analysis for delayed neural networks with switching parameters: Average dwell time approach

IEEE Transactions on Neural Networks

Volumn 21, Issue 9, 2010, Pages 1396-1407

  Wu, Ligang ^a   Feng, Zhiguang ^b   Zheng, Wei Xing ^c  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

^c UNIVERSITY OF WESTERN SYDNEY   (Australia)

Author keywords

Average dwell time; delay partitioning; delayed neural networks (DNNs); exponential stability; switched parameters

Indexed keywords

AVERAGE DWELL TIME; DELAY PARTITIONING; DELAYED NEURAL NETWORKS; EXPONENTIAL STABILITY; SWITCHED PARAMETERS;

EXPONENTIAL FUNCTIONS; LYAPUNOV FUNCTIONS; SWITCHING CIRCUITS; TIME VARYING NETWORKS;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; MATHEMATICAL COMPUTING; MATHEMATICAL PHENOMENA; NONLINEAR SYSTEM; TIME;

ALGORITHMS; MATHEMATICAL COMPUTING; MATHEMATICAL CONCEPTS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; TIME FACTORS;

EID: 77956343250     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2010.2056383     Document Type: Article

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