کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
410785 | 679162 | 2008 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Adaptive RBF neural-networks control for a class of time-delay nonlinear systems
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Adaptive RBF neural-networks control for a class of time-delay nonlinear systems Adaptive RBF neural-networks control for a class of time-delay nonlinear systems](/preview/png/410785.png)
چکیده انگلیسی
A control scheme combined with backstepping, radius basis function (RBF) neural networks and adaptive control is proposed for the stabilization of nonlinear system with input and state delay. By using state transformation, the original system is converted to the system without input delay. The RBF neural network is employed to estimate the unknown continuous function. The controller is designed for the converted system so that the closed-loop system is bounded. According to the relation between the original system and the converted one, the state of the original system is proved to be bounded. The control scheme ensures that the closed-loop system is semi-globally uniformly ultimately bounded.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 71, Issues 16–18, October 2008, Pages 3617–3624
Journal: Neurocomputing - Volume 71, Issues 16–18, October 2008, Pages 3617–3624
نویسندگان
Qing Zhu, Shumin Fei, Tianping Zhang, Tao Li,