Robust stability of stochastic delayed additive neural networks with Markovian switching

Neural Networks

Volumn 20, Issue 7, 2007, Pages 799-809

  Huang, He ^a   Ho, Daniel W C ^a   Qu, Yuzhong ^b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b SOUTHEAST UNIVERSITY   (China)

Author keywords

Additive neural networks; Global exponential stability; Interval systems; Markov chain; Stochastic systems; Time varying delay systems

Indexed keywords

MARKOV PROCESSES; MATHEMATICAL MODELS; NEURAL NETWORKS; SWITCHING; TIME VARYING CONTROL SYSTEMS;

ADDITIVE NEURAL NETWORKS; GLOBAL EXPONENTIAL STABILITY; INTERVAL SYSTEMS; MARKOV CHAIN; TIME-VARYING DELAY SYSTEMS;

STOCHASTIC CONTROL SYSTEMS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; LYAPUNOV METHOD; MARKOVIAN SWITCHING; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; PRIORITY JOURNAL; SIMULATION; STOCHASTIC MODEL; TIME;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FEEDBACK; FUZZY LOGIC; INFORMATION STORAGE AND RETRIEVAL; LINEAR MODELS; MARKOV CHAINS; MATHEMATICS; NEURAL NETWORKS (COMPUTER); NEURONS; NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; STOCHASTIC PROCESSES; SYSTEMS THEORY; TIME FACTORS;

EID: 34548451976     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2007.07.003     Document Type: Article

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