Title :
Global robust stability criterion for uncertain cellular neural networks with time-varying delay: An LMI approach
Author :
Zhou, Xiaobing ; Wu, Yue ; Zeng, Yihong
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
In this paper, global robust stability problem of norm-bounded uncertain cellular neural networks with time-varying delay is studied. By applying Lyapunov-Krasovskii functional and S-procedure, the global robust stability criterion is obtained in the form of linear matrix inequality (LMI). The effectiveness of the presented robust stability criterion is demonstrated by a numerical example
Keywords :
Lyapunov methods; cellular neural nets; linear matrix inequalities; stability; time-varying systems; Lyapunov-Krasovskii functional method; S-procedure; linear matrix inequality; robust stability; time-varying delay; uncertain cellular neural network; Cellular neural networks; Computer networks; Computer science; Delay; Equations; Linear matrix inequalities; Neurons; Robust stability; Uncertainty; Vectors;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.294173
