DocumentCode
2550423
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
fYear
2008
fDate
13-15 Dec. 2008
Firstpage
100
Lastpage
105
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICACIA.2008.4769981
Filename
4769981
Link To Document