New criteria on global robust stability of Cohen-Grossberg neural networks with time-varying delays

Neurocomputing

Volumn 72, Issue 1-3, 2008, Pages 445-457

  Feng, Jun e ^a,b   Xu, Shengyuan ^b  

^a SHANDONG UNIVERSITY   (China)

^b NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Cohen Grossberg neural networks; Global asymptotic stability; Linear matrix inequality; Neural networks; Robust stability; Time varying delays

Indexed keywords

ASYMPTOTIC ANALYSIS; ASYMPTOTIC STABILITY; CHEMICAL ACTIVATION; CONTROL THEORY; DELAY CONTROL SYSTEMS; FUZZY CONTROL; KETONES; LINEAR CONTROL SYSTEMS; LINEAR MATRIX INEQUALITIES; ROBUSTNESS (CONTROL SYSTEMS); STABILITY CRITERIA; SYSTEM STABILITY; THEOREM PROVING; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS; TIME VARYING SYSTEMS; UNCERTAIN SYSTEMS; UNCERTAINTY ANALYSIS; UNMANNED AERIAL VEHICLES (UAV); VEGETATION;

COHEN-GROSSBERG NEURAL NETWORKS; GLOBAL ASYMPTOTIC STABILITY; LINEAR MATRIX INEQUALITY; ROBUST STABILITY; TIME-VARYING DELAYS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; MATHEMATICAL ANALYSIS; PRIORITY JOURNAL; THEORETICAL STUDY; UNCERTAINTY;

EID: 55949106693     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.12.008     Document Type: Article

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