Estimating the ultimate bound and positively invariant set for a class of hopfield networks

IEEE Transactions on Neural Networks

Volumn 22, Issue 11, 2011, Pages 1735-1743

  Zhang, Jianxiong ^a   Tang, Wansheng ^a   Zheng, Pengsheng ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

Hopfield neural networks; linear matrix inequalities; Lyapunov function; positively invariant set; ultimate bound

Indexed keywords

GLOBAL STABILITY; HOPFIELD NETWORKS; INVARIANT SET; LAGRANGE MULTIPLIER METHOD; LMI CONSTRAINTS; LYAPUNOV; LYAPUNOV STABILITY CRITERION; NUMERICAL EXAMPLE; OPTIMIZATION PROBLEMS; POSITIVELY INVARIANT SET; ULTIMATE BOUND;

ESTIMATION; LAGRANGE MULTIPLIERS; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; NEURAL NETWORKS; STABILITY CRITERIA;

HOPFIELD NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; NONLINEAR SYSTEM; STATISTICAL MODEL;

ALGORITHMS; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED;

EID: 80455177002     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2166275     Document Type: Article

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