Title :
Robust Exponential Stabilization of Stochastic Neural Networks with Markovian Switching
Author :
Jiang, Guo-cai ; Zhong, Shou-ming
Author_Institution :
Sch. of Appl. Math., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
This letter concerns with robust exponential stability of stochastic neural networks with Markovian switching. By applying Lyapunov functional method, a sufficient stabilization condition is developed in terms of matrix inequalities. The result is also compared with the previously reported results in the literature. Finally, one simulation example is provided to illustrate the effectiveness of the results developed.
Keywords :
Lyapunov matrix equations; Markov processes; linear matrix inequalities; neural nets; stability; LMI; Lyapunov functional method; Markovian switching; matrix inequality; robust exponential stabilization; stochastic neural network; Delay; Linear matrix inequalities; Mathematics; Neural networks; Robust stability; Robustness; Stability criteria; Stochastic processes; Stochastic systems; Time varying systems; Markovian switching; Robust exponential stabilization; Stochastic system;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3427-5
Electronic_ISBN :
978-1-4244-3426-8
DOI :
10.1109/ICACIA.2008.4769981
