Robust exponential stability of uncertain delayed neural networks with stochastic perturbation and impulse effects

IEEE Transactions on Neural Networks and Learning Systems

Volumn 23, Issue 6, 2012, Pages 866-875

  Huang, Tingwen ^a   Li, Chuandong ^b   Duan, Shukai ^c   Starzyk, Janusz A ^d,e  

^a TEXAS A AND M UNIVERSITY AT QATAR   (Qatar)

^b CHONGQING UNIVERSITY   (China)

^c SOUTHWEST UNIVERSITY   (China)

^d Ohio University   (United States)

^e UNIVERSITY OF INFORMATION TECHNOLOGY AND MANAGEMENT   (Poland)

Author keywords

Delayed neural networks (DNN); exponential stability; impulse; mean square stability; parameter uncertainty; stochastic perturbation

Indexed keywords

DELAYED NEURAL NETWORKS; IMPULSE; MEAN SQUARE STABILITY; PARAMETER UNCERTAINTY; STOCHASTIC PERTURBATIONS;

ASYMPTOTIC STABILITY; LYAPUNOV FUNCTIONS; NEURAL NETWORKS; STABILITY CRITERIA; UNCERTAINTY ANALYSIS;

STOCHASTIC SYSTEMS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; NONLINEAR SYSTEM; PROCEDURES; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; COMPUTER SIMULATION; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; STOCHASTIC PROCESSES;

EID: 84868212651     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2012.2192135     Document Type: Article

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