Improved global robust asymptotic stability criteria for delayed cellular neural networks

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 35, Issue 6, 2005, Pages 1317-1321

  Xu, Shengyuan ^a   Lam, James ^b   Ho, Daniel W C ^c   Zou, Yun ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Cellular neural network; Global asymptotic stability; Linear matrix inequality; Parameter uncertainty; Robust stability; Time delays

Indexed keywords

ASYMPTOTIC STABILITY; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; ROBUSTNESS (CONTROL SYSTEMS); SYSTEM STABILITY; THEOREM PROVING; VECTORS;

GLOBAL ASYMPTOTIC STABILITY; LINEAR MATRIX INEQUALITY; PARAMETER UNCERTAINTY; TIME DELAYS;

CELLULAR NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; COMPUTER SIMULATION; LETTER; STATISTICAL MODEL; TIME;

ALGORITHMS; COMPUTER SIMULATION; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); TIME FACTORS;

EID: 29144475136     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2005.851539     Document Type: Article

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