Title :
Global Robust Stability of Neural Networks With Both Time-Varying and Unbounded Delays
Author :
Ji, Yan ; Cui, Baotong
Author_Institution :
Southern Yangtze Univ., Wuxi
fDate :
May 30 2007-June 1 2007
Abstract :
This paper considers the global robust stability of neural networks with both time-varying and unbounded delays. By employing suitable Lyapunov functions, a set of sufficient conditions are derived for the existence, uniqueness, and global robust stability of the equilibrium point. The results are shown to improve and generalize a previously published result. A example is given to illustrate the correctness of our results.
Keywords :
Lyapunov methods; delays; neurocontrollers; robust control; time-varying systems; Lyapunov functions; equilibrium point; global robust stability; neural networks; time-varying delays; unbounded delays; Artificial neural networks; Automatic control; Communication system control; Control engineering; Delay effects; Lyapunov method; Neural networks; Neurons; Robust stability; Sufficient conditions;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376840
