An LMI approach to delay-dependent state estimation for delayed neural networks

Neurocomputing

Volumn 71, Issue 13-15, 2008, Pages 2857-2867

  Huang, He ^a   Feng, Gang ^a   Cao, Jinde ^b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b SOUTHEAST UNIVERSITY   (China)

Author keywords

Delay dependent; Delayed neural networks; Global asymptotical stability; Linear matrix inequalities; State estimation

Indexed keywords

CASCADE CONTROL SYSTEMS; MATRIX ALGEBRA; NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); STATE ESTIMATION; TIME DELAY; TIME VARYING CONTROL SYSTEMS;

DELAY DEPENDENT; DELAY DEPENDENT CONDITIONS; DELAYED NEURAL NETWORKS; ESTIMATION PROBLEM; GLOBAL ASYMPTOTICAL STABILITY; GLOBALLY ASYMPTOTICALLY STABLE; TIME DERIVATIVE; TIME VARYING- DELAYS;

LINEAR MATRIX INEQUALITIES;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; COMPUTER NETWORK; COMPUTER SIMULATION; CONTROLLED STUDY; FEEDBACK SYSTEM; LINEAR SYSTEM; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; QUANTITATIVE STUDY; REACTION TIME; SYSTEM ANALYSIS; TIME PERCEPTION;

EID: 56449088310     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.08.008     Document Type: Article

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