Novel exponential stability criteria of high-order neural networks with time-varying delays

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

Volumn 41, Issue 2, 2011, Pages 486-496

  Zheng, Cheng De ^a   Zhang, Huaguang ^b   Wang, Zhanshan ^b  

^a DALIAN JIAOTONG UNIVERSITY   (China)

^b NORTHEASTERN UNIVERSITY   (China)

Author keywords

Free weighting matrix method; global exponential stability; high order neural networks; linear matrix inequality (LMI)

Indexed keywords

DELAY INDEPENDENT; DELAY-DEPENDENT; EQUILIBRIUM POINT; EXPONENTIAL STABILITY; FREE-WEIGHTING MATRIX METHOD; GLOBAL EXPONENTIAL STABILITY; HIGH-ORDER; HIGH-ORDER NEURAL NETWORK; HIGH-ORDER NEURAL NETWORKS; HOPFIELD TYPE NEURAL NETWORKS; LINEAR MATRIX INEQUALITY (LMI); LINEAR MATRIX INEQUALITY APPROACH; LYAPUNOV STABILITY THEORY; NUMERICAL EXAMPLE; SUFFICIENT CONDITIONS; TIME-VARYING DELAY;

EXPONENTIAL FUNCTIONS; HOPFIELD NEURAL NETWORKS; LINEAR MATRIX INEQUALITIES; NEURAL NETWORKS; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS;

STABILITY CRITERIA;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; DECISION SUPPORT SYSTEM; METHODOLOGY; THEORETICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; DECISION SUPPORT TECHNIQUES; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED;

EID: 79952900629     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2010.2059010     Document Type: Article

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