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
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;
Conference_Titel :
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN :
978-1-4799-2537-7
DOI :
10.1109/ICMC.2014.7231976
