Control of Flexible-link Manipulators Using Neural Networks: 261 (Lecture Notes in Control and Information Sciences) - Tapa blanda

Patel, R. V.; Khorasani, K.; Talebi, H. A.

 
9781852334093: Control of Flexible-link Manipulators Using Neural Networks: 261 (Lecture Notes in Control and Information Sciences)
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ISBN 10: 1852334096 ISBN 13: 9781852334093
Editorial: Springer, 2008

Sinopsis

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.

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Reseña del editor

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.

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Editorial
Springer
Año de publicación
2008
Idioma
Inglés
ISBN 10 
1852334096
ISBN 13 
9781852334093
Encuadernación
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Número de páginas
168
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
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Hamburg
Alemania

Otras ediciones populares con el mismo título

9781447139515: Control of Flexible-link Manipulators Using Neural Networks

Edición Destacada

ISBN 10:  1447139518 ISBN 13:  9781447139515
Editorial: Springer, 2014
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