TY - GEN
T1 - New global stability criteria for interval delayed neural networks
AU - Su, Xiaojie
AU - Feng, Yunkai
AU - Wu, Ligang
AU - Peng, Gaoliang
PY - 2010
Y1 - 2010
N2 - This paper is concerned with the problem of global robust exponential stability for a class of interval cellular neural networks with time-constant delays. By introducing a novel Lyapunov-Krasovslii functional combining with the idea of delay fractioning, some delay-dependent conditions are derived in terms of the linear matrix inequality, which guarantee the considered interval delayed cellular neural networks to be global exponentially stable. Moreover, the conservatism can be notably reduced as the the fractioning goes thinner. A numerical example is provided to demonstrate the advantage of the proposed result.
AB - This paper is concerned with the problem of global robust exponential stability for a class of interval cellular neural networks with time-constant delays. By introducing a novel Lyapunov-Krasovslii functional combining with the idea of delay fractioning, some delay-dependent conditions are derived in terms of the linear matrix inequality, which guarantee the considered interval delayed cellular neural networks to be global exponentially stable. Moreover, the conservatism can be notably reduced as the the fractioning goes thinner. A numerical example is provided to demonstrate the advantage of the proposed result.
UR - https://www.scopus.com/pages/publications/79952177507
U2 - 10.1109/ISSCAA.2010.5633271
DO - 10.1109/ISSCAA.2010.5633271
M3 - 会议稿件
AN - SCOPUS:79952177507
SN - 9781424460441
T3 - ISSCAA2010 - 3rd International Symposium on Systems and Control in Aeronautics and Astronautics
SP - 977
EP - 981
BT - ISSCAA2010 - 3rd International Symposium on Systems and Control in Aeronautics and Astronautics
T2 - 3rd International Symposium on Systems and Control in Aeronautics and Astronautics, ISSCAA2010
Y2 - 8 June 2010 through 10 June 2010
ER -