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Titlebook: Control of Flexible-link Manipulators Using Neural Networks; H. A. Talebi,R. V. Patel,K. Khorasani Book 2001 Springer-Verlag London 2001 F

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书目名称Control of Flexible-link Manipulators Using Neural Networks
编辑H. A. Talebi,R. V. Patel,K. Khorasani
视频videohttp://file.papertrans.cn/238/237437/237437.mp4
概述Authors well known in their field.Up-to-date experimental evaluations included
丛书名称Lecture Notes in Control and Information Sciences
图书封面Titlebook: Control of Flexible-link Manipulators Using Neural Networks;  H. A. Talebi,R. V. Patel,K. Khorasani Book 2001 Springer-Verlag London 2001 F
描述.Control of Flexible-link Manipulators Using Neural Networks. addresses the difficulties that arise in controlling the end-point of a manipulator that has a significant amount of structural flexibility in its links. The non-minimum phase characteristic, coupling effects, nonlinearities, parameter variations and unmodeled dynamics in such a manipulator all contribute to these difficulties. Control strategies that ignore these uncertainties and nonlinearities generally fail to provide satisfactory closed-loop performance. This monograph develops and experimentally evaluates several intelligent (neural network based) control techniques to address the problem of controlling the end-point of flexible-link manipulators in the presence of all the aforementioned difficulties. To highlight the main issues, a very flexible-link manipulator whose hub exhibits a considerable amount of friction is considered for the experimental work. Four different neural network schemes are proposed and implemented on the experimental test-bed. The neural networks are trained and employed as online controllers.
出版日期Book 2001
关键词Flexible-link manipulators; Robotics; control; control theory; mechatronics; neural networks
版次1
doihttps://doi.org/10.1007/BFb0110411
isbn_softcover978-1-85233-409-3
isbn_ebook978-1-84628-572-1Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightSpringer-Verlag London 2001
The information of publication is updating

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Output redefinition,table. This is done by neglecting the payload and linearizing the zero dynamics of the system. Then, the stability of the zero dynamics associated to this new output was shown to be ensured as payload mass .. increases. This enables us to design such controllers that remain robust to the payload variation. This is the subject of the next chapter.
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Book 2001 has a significant amount of structural flexibility in its links. The non-minimum phase characteristic, coupling effects, nonlinearities, parameter variations and unmodeled dynamics in such a manipulator all contribute to these difficulties. Control strategies that ignore these uncertainties and non
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Martin Mihajlov,Borka Jerman-Blazictable. This is done by neglecting the payload and linearizing the zero dynamics of the system. Then, the stability of the zero dynamics associated to this new output was shown to be ensured as payload mass .. increases. This enables us to design such controllers that remain robust to the payload variation. This is the subject of the next chapter.
发表于 2025-3-22 18:27:59 | 显示全部楼层
Book 2001nsidered for the experimental work. Four different neural network schemes are proposed and implemented on the experimental test-bed. The neural networks are trained and employed as online controllers.
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Control of Flexible-link Manipulators Using Neural Networks
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