Deriving sufficient conditions for global asymptotic stability of delayed neural networks via nonsmooth analysis - II

IEEE Transactions on Neural Networks

Volumn 16, Issue 6, 2005, Pages 1701-1706

  Qi, Houduo ^a   Qi, Liqun ^b   Yang, Xiaoqi ^b  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Equilibrium point; Global asymptotic stability; Lipschitzian functions; Neural networks; Nonsmooth analysis

Indexed keywords

ASYMPTOTIC STABILITY; EIGENVALUES AND EIGENFUNCTIONS; LYAPUNOV METHODS; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; THEOREM PROVING;

DELAYED CELLULAR NEURAL NETWORKS; GLOBAL ASYMPTOTIC STABILITY; LIPSCHITZIAN FUNCTIONS; NONSMOOTH ANALYSIS;

CELLULAR NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; LETTER; MATHEMATICAL COMPUTING; SIGNAL PROCESSING; THEORETICAL MODEL; TIME;

ALGORITHMS; COMPUTER SIMULATION; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); NUMERICAL ANALYSIS, COMPUTER-ASSISTED; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 28244475869     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2005.852975     Document Type: Article

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