Robust stability of Markovian jump discrete-time neural networks with partly unknown transition probabilities and mixed mode-dependent delays

International Journal of Systems Science

Volumn 44, Issue 2, 2013, Pages 252-264

  Sheng, Li ^a   Gao, Ming ^b  

^a CHINA UNIVERSITY OF PETROLEUM   (China)

^b SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Discrete time recurrent neural networks; Markovian jump systems; Mixed time delays; Partly unknown transition probabilities; Robust stability

Indexed keywords

DISCRETE AND DISTRIBUTED DELAYS; DISCRETE TIME RECURRENT NEURAL NETWORK; DISCRETE-TIME NEURAL NETWORKS; LINEAR MATRIX INEQUALITY APPROACH; LYAPUNOV FUNCTIONALS; MARKOVIAN JUMP SYSTEMS; MARKOVIAN JUMPS; MODE-DEPENDENT TIME DELAYS; NUMERICAL EXAMPLE; ROBUST STABILITY; TRANSITION PROBABILITIES; UNDERLYING SYSTEMS;

LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; PROBABILITY; RECURRENT NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); TIME DELAY;

MARKOV PROCESSES;

EID: 84870588089     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207721.2011.600472     Document Type: Article

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