کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8900773 | 1631721 | 2018 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Extended dissipative estimator design for uncertain switched delayed neural networks via a novel triple integral inequality
ترجمه فارسی عنوان
طراحی تخمین زده محصور توسعه یافته برای شبکه های عصبی با تأخیر مجدد نامنظم با استفاده از یک نابرابری سه بعدی انتگرال
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
چکیده انگلیسی
This paper addresses the problem of extended dissipative estimator design for uncertain switched neural networks (SNNs) with mixed time-varying delays and general activation functions. Firstly, for dealing with triple integral term, a new integral inequality is derived. Secondly, based on the theory of convex combination, we propose a novel flexible delay division method and corresponding modified Lyapunov-Krasovskii functional (LKF) is established. Thirdly, a switching estimator design approach is contributed, which ensures that the resulting augmented system is extended dissipative. Combining the extended reciprocally convex technique with Wirtinger-based integral inequality, improved delay-dependent exponential stability criterion is obtained. Finally, a example with two cases is provided to illustrate the feasibility and effectiveness of the developed theoretical results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 335, 15 October 2018, Pages 82-102
Journal: Applied Mathematics and Computation - Volume 335, 15 October 2018, Pages 82-102
نویسندگان
Wenqian Xie, Hong Zhu, Shouming Zhong, Dian Zhang, Kaibo Shi, Jun Cheng,