Title :
Delay-dependent passivity analysis of a class of uncertain stochastic recurrent neural networks
Author :
Fu, Jie ; Zhang, Huaguang ; Liu, Derong ; Xie, Xiangpeng
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
This paper studies the passivity problem for a class of uncertain stochastic recurrent neural networks (SRNNs) with interval time-varying delay. Based on Lyapunov-Krasovskii functional and stochastic analysis approach, a delay-dependent robust passivity criteria is obtained in the linear matrix inequality (LMI) format. The effectiveness of the proposed method is demonstrated by a numerical example.
Keywords :
Lyapunov methods; delays; linear matrix inequalities; recurrent neural nets; time-varying systems; uncertain systems; Lyapunov-Krasovskii functional; delay-dependent robust passivity analysis; interval time-varying delay; linear matrix inequality; uncertain stochastic recurrent neural network; Biological neural networks; Circuit stability; Delay effects; Information science; Nervous system; Neurons; Recurrent neural networks; Signal processing; Stochastic processes; Uncertain systems; Interval time-varying delay; Norm-bounded parameter uncertainties; Passivity; Stochastic recurrent neural networks;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262837
