کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
409667 | 679083 | 2013 | 7 صفحه PDF | دانلود رایگان |
This paper considers the problem of delay-dependent stability criteria for neural networks with time-varying delays. First, by constructing a newly augmented Lyapunov–Krasovskii functional, a less conservative stability criterion is established in terms of linear matrix inequalities (LMIs). Second, by proposing a novel activation function condition which has not been considered, a further improved result is proposed. Finally, two numerical examples utilized in other literature are given to show the improvements over the existing ones and the effectiveness of the proposed idea.
► A new Lyapunov–Krasovskii functional is devised for delayed neural networks.
► Less conservative delay dependent stability criteria are proposed.
► Two well-known examples are given to show the improvements over the existing ones.
Journal: Neurocomputing - Volume 103, 1 March 2013, Pages 114–120