Improved exponential stability criteria for discrete-time neural networks with time-varying delay

Neurocomputing

Volumn 73, Issue 4-6, 2010, Pages 975-985

  Liu, Zixin ^a,b   Lü, Shu ^a   Zhong, Shouming ^a   Ye, Mao ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b GUIZHOU UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

Delay dependent stability; Discrete time neural networks; Global exponential stability; Robust exponential stability; Time varying delays

Indexed keywords

DELAY-DEPENDENT STABILITY; DISCRETE-TIME NEURAL NETWORKS; GLOBAL EXPONENTIAL STABILITY; ROBUST EXPONENTIAL STABILITY; TIME-VARYING DELAY;

EXPONENTIAL FUNCTIONS; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; RECURRENT NEURAL NETWORKS; THREE TERM CONTROL SYSTEMS; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS; UNCERTAIN SYSTEMS;

STABILITY CRITERIA;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DELAY DEPENDENT STABILITY; DISCRETE TIME NEURAL NETWORK; GLOBAL EXPONENTIAL STABILITY; INFORMATION PROCESSING; LINEAR MATRIX INEQUALITY; LYAPUNOV KRASOVSKII FUNCTIONAL; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; PRIORITY JOURNAL; QUANTITATIVE STUDY; ROBUST EXPONENTIAL STABILITY; STATISTICAL ANALYSIS;

EID: 75749120158     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.08.017     Document Type: Article

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