Title :
LMI conditions for stability results for stochastic neural networks with time-varying delay
Author :
Tang, Yi ; Liu, Guoquan ; Wang, Runhua
Author_Institution :
Sch. of Electron. & Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
Abstract :
This paper deals with the problem of robust stability analysis for uncertain stochastic neural networks with time varying delay. Based on the Lyapunov-Krasovskii functional theory and the free-weighting matrices method, the delay dependent criteria are proposed in terms of linear matrix inequality (LMI). Two examples are given to show the less conservativeness of the obtained conditions.
Keywords :
Lyapunov matrix equations; delays; neurocontrollers; robust control; stochastic systems; uncertain systems; LMI conditions; Lyapunov-Krasovskii functional theory; delay-dependent criteria; free-weighting matrices; linear matrix inequality; robust stability analysis; time-varying delay; uncertain stochastic neural networks; Artificial neural networks; Delay; Linear matrix inequalities; Stability criteria; Symmetric matrices; Thermal stability; Timevarying delay; lyapunov-krasovskii functional; robust stability; stochastic neural networks;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777306
