Stochastic finite-time boundedness of Markovian jumping neural network with uncertain transition probabilities

Applied Mathematical Modelling

Volumn 35, Issue 6, 2011, Pages 2631-2638

  He, Shuping ^a,b   Liu, Fei ^a  

^a JIANGNAN UNIVERSITY   (China)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Linear matrix inequalities; Markovian jumping neural networks (MJNNs); Stochastic finite time boundedness; Stochastic Lyapunov Krasovskii functional

Indexed keywords

BOUNDEDNESS; FINITE-STATE; FINITE-TIME BOUNDEDNESS; JUMPING PARAMETERS; LYAPUNOV-KRASOVSKII FUNCTIONALS; MARKOVIAN; SIMULATION RESULT; SUFFICIENT CONDITIONS; TRANSITION PROBABILITIES;

LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; MARKOV PROCESSES; STOCHASTIC SYSTEMS; UNCERTAIN SYSTEMS; UNCERTAINTY ANALYSIS;

NEURAL NETWORKS;

EID: 79951957345     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2010.11.050     Document Type: Article

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