New Robust Stability Criteria for Uncertain Neural Networks with Time-Varying Delays

Author

Zhang, Jinhui ; Qiu, Jiqing ; Shi, Peng

Author_Institution

Coll. of Sci., Hebei Univ. of Sci. & Technol.

Volume

3

fYear

2006

fDate

Aug. 30 2006-Sept. 1 2006

Firstpage

648

Lastpage

651

Abstract

The problem of robust stability for uncertain neural networks with time-varying delays is investigated in this paper. The system possesses norm-bounded uncertainties. The time-varying delay function in this paper maybe not continuously differentiate and its derivative may be not smaller than one. Based on Lyapunov-Krasovskii functional approach, some new delay-dependent stability criteria are presented, which are in terms of linear matrix inequalities (LMIs). Numerical example is given to illustrate the effectiveness and less conservative of the developed techniques

Keywords

Lyapunov methods; delays; linear matrix inequalities; neural nets; robust control; stability criteria; time-varying systems; uncertain systems; Lyapunov-Krasovskii functional approach; linear matrix inequalities; robust stability criteria; time-varying delays; uncertain neural network; Cellular neural networks; Delay; Linear matrix inequalities; Neural networks; Neurons; Robust stability; Stability analysis; Stability criteria; Sufficient conditions; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2616-0

Type

conf

DOI

10.1109/ICICIC.2006.481

Filename

1692260