Title :
A note on “pth moment exponential stability of stochastic Cohen-Grossberg neural networks with time-varying delays”
Author :
Huang, Chuangxia ; He, Yigang
Author_Institution :
Coll. of Math. & Comput. Sci., Changsha Univ. of Sci. & Technol., Changsha
Abstract :
In a very recent paper, Zhu et al. [Neural Process Lett (2007)26:191-200] proposed an interesting approach to study pth moment exponential stability of stochastic Cohen-Grossberg neural networks with time-varying delays. Unfortunately, since the constructed Lyapunov function is invalid for p=2k+1, kisinN, the main results obtained are not correct for the general case. This note intends to circumvent these problems by modifying the approach proposed in Zhu et al. [Neural Process Lett (2007) 26:191-200].
Keywords :
Lyapunov methods; delay systems; neural nets; stability; stochastic processes; time-varying systems; Lyapunov function; pth moment exponential stability; stochastic Cohen-Grossberg neural network; time-varying delay; Automatic control; Biological neural networks; Computer networks; Educational institutions; Mathematics; Neural networks; Paper technology; Recurrent neural networks; Stability; Stochastic processes; Stochastic; exponential stability; neural network; time delay;
Conference_Titel :
Electrical Engineering, Computing Science and Automatic Control, 2008. CCE 2008. 5th International Conference on
Conference_Location :
Mexico City
Print_ISBN :
978-1-4244-2498-6
Electronic_ISBN :
978-1-4244-2499-3
DOI :
10.1109/ICEEE.2008.4723363
