Stability and synchronization for Markovian jump neural networks with partly unknown transition probabilities

Neurocomputing

Volumn 74, Issue 17, 2011, Pages 3404-3411

  Ma, Qian ^a   Xu, Shengyuan ^a   Zou, Yun ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Asymptotic stability; Markovian jump neural networks; Partly unknown transition probabilities; Synchronization

Indexed keywords

CHAOS SYNCHRONIZATION; COUPLED NETWORKS; DELAY-DEPENDENT; KRONECKER PRODUCT; LYAPUNOV FUNCTIONAL METHOD; MARKOVIAN JUMPS; MEAN SQUARE; SIMULATION EXAMPLE; STABILITY ANALYSIS; SUFFICIENT CONDITIONS; TRANSITION PROBABILITIES;

ASYMPTOTIC STABILITY; LINEAR MATRIX INEQUALITIES; MARKOV PROCESSES; PROBABILITY; SYNCHRONIZATION;

NEURAL NETWORKS;

ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; INTERMETHOD COMPARISON; LINEAR SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; PROBABILITY; PROCESS DEVELOPMENT; PROCESS MODEL; STOCHASTIC MODEL;

EID: 80052917222     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.05.018     Document Type: Article

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