Global exponential stability of impulsive discrete-time neural networks with time-varying delays

Applied Mathematics and Computation

Volumn 217, Issue 2, 2010, Pages 537-544

  Xu, Honglei ^a,b   Chen, Yuanqiang ^c   Teo, Kok Lay ^b  

^a GUIZHOU UNIVERSITY   (China)

^b CURTIN UNIVERSITY   (Australia)

^c National Minorities College of Guizhou   (China)

Author keywords

Exponential convergence rate; Global exponential stability; Halanay inequality; Impulsive discrete time neural networks

Indexed keywords

DISCRETE-TIME; DISCRETE-TIME NEURAL NETWORKS; EXPONENTIAL CONVERGENCE RATE; GLOBAL EXPONENTIAL STABILITY; HALANAY INEQUALITY; HALANAY-TYPE INEQUALITIES; INEQUALITY ANALYSIS; LYAPUNOV STABILITY THEORY; NUMERICAL EXAMPLE; SUFFICIENT CONDITIONS; TIME-VARYING DELAY;

EXPONENTIAL FUNCTIONS; NEURAL NETWORKS; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS;

STABILITY CRITERIA;

EID: 77955663990     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2010.05.087     Document Type: Article

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