Title :
Novel global robust stability analysis of neural networks with time-varying delays
Author :
Zhang, Jingyao ; Cui, Baotong
Author_Institution :
Coll. of Commun. & Control Eng., Jiangnan Univ., Wuxi
Abstract :
In this paper, we study the global robust stability of neural networks with time varying delays and parametric uncertainties by using the Lyapunov functional method and matrix inequality technique. The proposed criteria are computationally efficient as they can be easily checked by using MATLAB toolbox. The obtained criteria are marked improvements over the earlier works, and an example is given to show the effectiveness of our theoretical results.
Keywords :
Lyapunov methods; delays; matrix algebra; neural nets; stability; Lyapunov functional method; MATLAB toolbox; global robust stability analysis; matrix inequality technique; neural networks; time-varying delays; Cellular neural networks; Control engineering; Delay effects; Educational institutions; Electronic mail; Linear matrix inequalities; Neural networks; Neurons; Robust stability; Uncertainty; Cellular neural networks; Lyapunov theory; global robust stability (GRS); linear matrix inequality (LMI);
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597280
