Exponential stability of stochastic neural networks with both Markovian jump parameters and mixed time delays

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

Volumn 41, Issue 2, 2011, Pages 341-353

  Zhu, Quanxin ^a   Cao, Jinde ^b  

^a NINGBO UNIVERSITY   (China)

^b SOUTHEAST UNIVERSITY   (China)

Author keywords

Exponential stability; linear matrix inequality (LMI); Lyapunov functional; Markovian jump parameter; mixed time delay; stochastic neural network

Indexed keywords

EXPONENTIAL STABILITY; LYAPUNOV FUNCTIONALS; MARKOVIAN JUMP PARAMETERS; MIXED TIME DELAY; STOCHASTIC NEURAL NETWORK;

EXPONENTIAL FUNCTIONS; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; MARKOV PROCESSES; NEURAL NETWORKS; STOCHASTIC SYSTEMS; TIME DELAY; UNCERTAIN SYSTEMS;

STABILITY CRITERIA;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; PROBABILITY; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; COMPUTER SIMULATION; MARKOV CHAINS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); STOCHASTIC PROCESSES;

EID: 79952006906     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2010.2053354     Document Type: Article

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