DocumentCode
3576179
Title
Robust stabilization for neural networks with time-varying delays
Author
Bin Wen ; Hui Li ; Shouming Zhong ; Qishui Zhong ; Jinxiang Yang
Author_Institution
Sch. of Aeronaut. & Astronaut., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2014
Firstpage
2284
Lastpage
2289
Abstract
In this paper, the problem of robust stabilization for uncertain neural networks with time-varying delays is investigated. Based on the Lyapunov-Krasovskii functional approach, a new delay-dependent stabilization criterion of the system is derived. The criterion is derived in terms of LMIs(linear matrix inequality), which can be easily calculated by the Matlab LMI control toolbox. Numerical example is given to show the effectiveness of the obtained result.
Keywords
Lyapunov methods; delay systems; linear matrix inequalities; neurocontrollers; robust control; stability criteria; time-varying systems; uncertain systems; Lyapunov-Krasovskii functional approach; Matlab LMI control toolbox; delay-dependent stabilization criterion; linear matrix inequality; robust stabilization; time-varying delay; uncertain neural network; Delay effects; Delays; Linear matrix inequalities; Neural networks; Robustness; Stability criteria; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN
978-1-4799-2537-7
Type
conf
DOI
10.1109/ICMC.2014.7231976
Filename
7231976
Link To Document