کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6864524 | 1439544 | 2018 | 25 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Adaptive neural network control of a flexible string system with non-symmetric dead-zone and output constraint
ترجمه فارسی عنوان
کنترل شبکه عصبی تطبیقی یک سیستم رشته انعطاف پذیر با محدودیت خروجی متقارن و غیرمستقیم
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
This study is concerned with adaptive neural network control for a vibrating flexible string system under the influence of non-symmetric input dead-zone, output constraint and system uncertainties. First, the backstepping method is incorporated into the context of boundary control scheme and the barrier Lyapunov function is exploited to ensure the output constraints are never transgressed. Subsequently, an adaptive neural network control is developed to globally stabilize the string system and compensate for the effect of the input dead-zone. Besides, the online updating laws are introduced to compensate for the uncertainties of the system and the Ï-modification is adopted to adjust the robustness of the system. Under the proposed control, the bounded stability of the closed-loop system is proven based on Lyapunov functions without simplifying or discretizing the infinite-dimensional dynamics. Finally, simulation results are presented for control performance verification.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 283, 29 March 2018, Pages 1-8
Journal: Neurocomputing - Volume 283, 29 March 2018, Pages 1-8
نویسندگان
Zhijia Zhao, Jun Shi, Xuejing Lan, Xiaowei Wang, Jingfeng Yang,