کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6865703 | 678082 | 2015 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Adaptive neural dynamic surface control for a class of uncertain nonlinear systems with disturbances
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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 neural dynamic surface control for a class of uncertain nonlinear systems with disturbances Adaptive neural dynamic surface control for a class of uncertain nonlinear systems with disturbances](/preview/png/6865703.png)
چکیده انگلیسی
In this paper, adaptive dynamic surface control is investigated for a class of uncertain nonlinear systems with unknown bounded disturbances in strict-feedback form. Dynamic surface control technique is connected with radial basis function neural networks (RBFNNs) based control framework to avoid the explosion problem of complexity. The composite laws are constructed by prediction error and compensated tracking error between system state and serial-parallel estimation model for NN weights updating. Using Lyapunov techniques, the uniformly ultimate boundedness stability of all the signals in the closed-loop systems is guaranteed. Simulation results illustrate the superiority of the proposed scheme and verify the theoretical analysis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 165, 1 October 2015, Pages 152-158
Journal: Neurocomputing - Volume 165, 1 October 2015, Pages 152-158
نویسندگان
Yang Cui, Huaguang Zhang, Yingchun Wang, Zhao Zhang,