Improved delay-dependent stability criteria for discrete-time stochastic neural networks with time-varying delays

Procedia Engineering

Volumn 15, Issue , 2011, Pages 4456-4460

  Luo, Meng Zhuo ^a   Zhong, Shou Ming ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Delay dependent stability; Linear matrix inequalities; Lyapunov Krasovskii; Neural network; Time varying delay

Indexed keywords

DELAY DEPENDENT STABILITY CRITERION; DELAY-DEPENDENT; DELAY-DEPENDENT STABILITY; DISCRETE-TIME; LYAPUNOV-KRASOVSKII; LYAPUNOV-KRASOVSKII FUNCTIONALS; MEAN SQUARE EXPONENTIAL STABILITY; NUMERICAL EXAMPLE; STOCHASTIC NEURAL NETWORK; STOCHASTIC STABILITY THEORY; TIME-VARYING DELAY;

CONTROL THEORY; INFORMATION SCIENCE; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; NEURAL NETWORKS; STOCHASTIC SYSTEMS; TIME VARYING CONTROL SYSTEMS; TIME VARYING NETWORKS;

STABILITY CRITERIA;

EID: 84055223402     PISSN: 18777058     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2011.08.837     Document Type: Conference Paper

References (4)

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2. A. Stuart, A. Humphries, Dynamical Systems and Numerical Analysis, Cambridge University, 1998.
3. M. Luo, S. Zhong, R. Wang, W. Kang, Robust stability analysis of discrete-tme stochastic neural networks with time-varying delays, Appl. Math. Comput 2009; 209:.305-313.
4. Y. Tang, J. Fang, M. Xia, D. Yu, Delay-distribution-dependent stability of stochastic discrete-time neural networks with randomly mixed time-varying delays, Neurocomputing 2009; 72:.3830-3838.