Stability analysis for discrete delayed Markovian jumping neural networks with partly unknown transition probabilities

Neurocomputing

Volumn 74, Issue 18, 2011, Pages 3768-3772

  Lu, Y ^a,b   Ren, W ^b   Yi, S ^a   Zuo, Y ^a  

^a HEILONGJIANG BAYI AGRICULTURAL UNIVERSITY   (China)

^b NORTHEAST PETROLEUM UNIVERSITY   (China)

Author keywords

Asymptotic stability; Markovian jumping parameters; Neural networks; Partly unknown transition probabilities

Indexed keywords

ANALYSIS PROBLEMS; MARKOVIAN; MARKOVIAN JUMPING PARAMETERS; NUMERICAL EXAMPLE; PARAMETER UNCERTAINTY; STABILITY ANALYSIS; SUFFICIENT CONDITIONS; TRANSITION PROBABILITIES; UNCERTAIN NEURAL NETWORKS;

ASYMPTOTIC STABILITY; LINEAR MATRIX INEQUALITIES; UNCERTAINTY ANALYSIS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; LINEAR MATRIX INEQUALITY; MARKOV JUMP SYSTEM; MATHEMATICAL PHENOMENA; PARTIALLY UNKNOWN TRANSITION PROBABILITY; PRIORITY JOURNAL; PROBABILITY; SIMULATION; TIME DELAY;

EID: 80053315658     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.06.029     Document Type: Article

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