Exponential state estimation for Markovian jumping neural networks with time-varying discrete and distributed delays

Neural Networks

Volumn 35, Issue , 2012, Pages 103-111

  Zhang, Dan ^a   Yu, Li ^a  

^a ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

LMI; Markov chain; Mean square exponentially stable; Neural networks; State estimation

Indexed keywords

CONVEX COMBINATIONS; DELAY BOUND; DELAY-DEPENDENT; DISCRETE AND DISTRIBUTED DELAYS; ESTIMATION ERRORS; EXPONENTIAL DECAY RATES; EXPONENTIALLY STABLE; LINEAR MATRIX INEQUALITY (LMIS); LMI; LYAPUNOV-KRASOVSKII FUNCTIONALS; MARKOVIAN; MAXIMUM DELAY BOUND; MEAN-SQUARE; NOISE ATTENUATION; NUMERICAL EXAMPLE; STATE ESTIMATORS; TIME VARYING;

DECAY (ORGANIC); LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; MARKOV PROCESSES; STATE ESTIMATION;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ATTENUATION; DYNAMICS; INFORMATION PROCESSING; MARKOVIAN JUMPING NEURAL NETWORK; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; PROBABILITY;

ALGORITHMS; COMPUTER SIMULATION; MARKOV CHAINS; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURONS; TIME FACTORS;

EID: 84866011892     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2012.08.005     Document Type: Article

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