Title :
Robust stability of cellular neural networks with delay: linear matrix inequality approach
Author_Institution :
Dept. of Electr.-Electron. Eng., Atilim Univ., Ankara, Turkey
Abstract :
A criterion for the global asymptotic stability and uniqueness of the equilibrium point of uncertain cellular neural networks with delay is presented. The uncertainties are assumed to be norm-bounded. The criterion is computationally efficient, since it is in the form of a linear matrix inequality.
Keywords :
asymptotic stability; cellular neural nets; delays; linear matrix inequalities; uncertain systems; cellular neural networks; delay; equilibrium point; global asymptotic stability; linear matrix inequality; norm bounded uncertainties; robust stability; uniqueness;
Journal_Title :
Control Theory and Applications, IEE Proceedings -
DOI :
10.1049/ip-cta:20040091
