Title :
Less Conservative Delay-dependent Stability Criteria for Neural Networks with Time-varying Delay
Author :
He, Yong ; Wu, Min
Author_Institution :
Central South Univ., Changsha
fDate :
May 30 2007-June 1 2007
Abstract :
In this paper, delay-dependent stability problem is studied for neural networks with a time-varying delay. Some less conservative stability criteria are established without ignoring any negative quadratic terms and by considering the relationship between the time-varying delay and its bound when estimating the upper bound of the derivative of Lyapunov functionals. Numerical examples are given to demonstrate the effectiveness and the benefits of the proposed method.
Keywords :
Lyapunov methods; delays; neurocontrollers; stability; time-varying systems; Lyapunov functionals; conservative stability criteria; less conservative delay-dependent stability criteria; negative quadratic terms; neural networks; time-varying delay; Centralized control; Delay effects; Delay estimation; Information science; Neural networks; Neurons; Stability analysis; Stability criteria; Symmetric matrices; Upper bound;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0817-7
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376396
