DocumentCode :
2245562
Title :
Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mixed time delays and impulses
Author :
Cheng, Pei ; Shang, Lei ; Yao, Fengqi
Author_Institution :
School of Mathematical Sciences, Anhui University, Hefei 230601, China
fYear :
2015
fDate :
28-30 July 2015
Firstpage :
1793
Lastpage :
1798
Abstract :
This paper is mainly concerned with the exponential stability of a class of Markovian jumping stochastic CohenGrossberg neural networks with mixed time delays and impulses. Three types of impulses are considered: the impulses are input disturbances, the impulses are neutral type, and the impulses are stabilizing. For each type of impulses, the sufficient conditions for exponential stability in form of matrix inequalities have been derived with regard to suitable classes of impulse time sequences.
Keywords :
Control theory; Delay effects; Linear matrix inequalities; Neural networks; Stability analysis; Symmetric matrices; Markovian jumping; Stochastic Cohen-Grossberg neural networks; exponential stability; impulses; mixed time delays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
Type :
conf
DOI :
10.1109/ChiCC.2015.7259906
Filename :
7259906
Link To Document :
بازگشت