Robust stability criterion for discrete-time uncertain markovian jumping neural networks with defective statistics of modes transitions

IEEE Transactions on Neural Networks

Volumn 22, Issue 1, 2011, Pages 164-170

  Zhao, Ye ^a   Zhang, Lixian ^a   Shen, Shen ^a   Gao, Huijun ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Markovian jumping neural network; stability; transition probability matrix

Indexed keywords

BROWNIAN MOTION; DISCRETE-TIME; MARKOVIAN; MARKOVIAN JUMPING NEURAL NETWORK; MAXIMUM VALUES; MONOTONICITY; MULTIMODES; NUMERICAL EXAMPLE; PARAMETER UNCERTAINTY; ROBUST STABILITY; STOCHASTIC PERTURBATIONS; TRANSITION PROBABILITIES; TRANSITION PROBABILITY MATRIX; UNDERLYING SYSTEMS;

BROWNIAN MOVEMENT; PROBABILITY; STABILITY CRITERIA; STOCHASTIC SYSTEMS;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; COMPUTER SIMULATION; PROBABILITY; PROBLEM SOLVING; STANDARD; STATISTICS; TIME;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; MARKOV CHAINS; NEURAL NETWORKS (COMPUTER); PROBABILITY; PROBLEM SOLVING; SOFTWARE DESIGN; STOCHASTIC PROCESSES; TIME FACTORS;

EID: 78651294959     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2010.2093151     Document Type: Article

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