Title :
On robust stability for uncertain neural networks with interval time-varying delays
Author :
Kwon, O.M. ; Park, J.H. ; Lee, S.M.
Author_Institution :
Sch. of Electr. & Comput. Eng., Chungbuk Nat. Univ., Cheongju
fDate :
7/1/2008 12:00:00 AM
Abstract :
The problem of robust stability of uncertain cellular neural networks with interval time-varying delays is considered. On the basis of the and convex optimisation approach, a new delay-dependent stability criterion for the system is derived in terms of linear matrix inequality using a novel mathematical inequality and stability analysis method. Four numerical examples are included to show the effectiveness of the results.
Keywords :
Lyapunov methods; cellular neural nets; convex programming; delays; linear matrix inequalities; stability; time-varying systems; uncertain systems; Lyapunov function method; delay-dependent stability criterion; interval time-varying delays; linear matrix inequality; robust stability; uncertain cellular neural networks;
Journal_Title :
Control Theory & Applications, IET
DOI :
10.1049/iet-cta:20070325