The problem of global stability for a class of uncertain cellular neural networks with time delays has been discussed. The uncertainty is assumed to be of norm-bounded form. A less conservative robust stability condition is derived on the basis of a new Lyapunov–Krasovskii functional in terms of linear matrix inequalities. Two numerical examples are given to illustrate the effectiveness of the proposed method.
Inspec keywords: delays; cellular neural nets; uncertain systems; linear matrix inequalities; stability; Lyapunov methods
Other keywords:
Subjects: Neural nets (theory); Algebra
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