Title :
Delay-Dependent Stability Analysis for Neural Networks with Two Additive Time-Varying Delay Components
Author :
Wang, Peiming ; Zhong, Shouming ; Lei, Huan
Author_Institution :
Sch. of Math. Sci., Univ. of Electron. Sci. & Technol. of China Chengdu, Chengdu, China
Abstract :
In this paper, sufficient conditions are provided for the stability of neural networks with two additive time-varying delay components. It is assumed that the delays in the system is time-varying and bounded. A new parameter-dependent Lyapunov-Krasovskii functional is defined to obain stability condition of the considered neural networks using linear matrix inequality (LMI) approach. Finally, a numerical example is presented to illustrate the effectiveness of the proposed method.
Keywords :
Lyapunov methods; delays; functional equations; linear matrix inequalities; neural nets; stability; time-varying systems; LMI approach; additive time-varying delay components; delay-dependent stability analysis; linear matrix inequality approach; neural networks; parameter-dependent Lyapunov-Krasovskii functional; stability condition; sufficient conditions; Computer science; linear matrix inequities(LMI); neural networks; stability; time-varying delays;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.542
