Passivity analysis for discrete-time stochastic markovian jump neural networks with mixed time delays

IEEE Transactions on Neural Networks

Volumn 22, Issue 10, 2011, Pages 1566-1575

  Wu, Zheng Guang ^a   Shi, Peng ^b,c,d   Su, Hongye ^a   Chu, Jian ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

^b UNIVERSITY OF GLAMORGAN   (United Kingdom)

^c VICTORIA UNIVERSITY   (Australia)

^d UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

Markovian jumping parameters; neural networks; passivity; piecewise homogeneous; time delays

Indexed keywords

DELAY-DEPENDENT; DISCRETE AND DISTRIBUTED DELAYS; DISCRETE DELAY; DISCRETE-TIME; DISTRIBUTED DELAYS; LINEAR MATRIX INEQUALITY APPROACH; LYAPUNOV FUNCTIONALS; MARKOV CHAIN; MARKOVIAN JUMPING PARAMETERS; MARKOVIAN JUMPS; NUMERICAL EXAMPLE; PASSIVITY; PIECE-WISE; STOCHASTIC NEURAL NETWORK; TRANSITION PROBABILITIES;

LINEAR MATRIX INEQUALITIES; MARKOV PROCESSES; NUMERICAL METHODS; STOCHASTIC SYSTEMS; TIME DELAY;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; HUMAN; PROBABILITY; STATISTICAL MODEL; STATISTICS; TIME;

ALGORITHMS; HUMANS; LINEAR MODELS; MARKOV CHAINS; NEURAL NETWORKS (COMPUTER); STOCHASTIC PROCESSES; TIME FACTORS;

EID: 80053655097     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2163203     Document Type: Article

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