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Robotic Manipulator Control Using Neural Networks: A research case study onto a 2-DOF robotic arm - Couverture souple
Synopsis
The learning capabilities of artificial neural networks (ANNs) to identify and emulate the behavior of complicated nonlinear systems have made them effective tools that can be utilized in intelligent adaptive control strategies. The use of ANNs in the design of trajectory tracking controllers for robotic manipulators is dated back to the 1980s. Due to the flexibility of their structure as well as the continuous development and enhancement of their self-training algorithms, the use of ANNs in the field of robotic manipulator trajectory tracking control is being considered an important research area. This textbook explains in great detail the process of designing an effective controller to enhance the trajectory tracking performance of a two degree of freedom (2-DOF) robotic arm using neural networks. Feed-forward ANNs were used in both model-based and non-model-based control strategies. Since it also includes a deep explanation of the modeling of the 2-DOF robotic arm system including its actuating DC-motors and their control using a PD controller, this textbook can also serve as an effective educational tool for both undergraduate and graduate electrical engineering students.
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Présentation de l'éditeur
The learning capabilities of artificial neural networks (ANNs) to identify and emulate the behavior of complicated nonlinear systems have made them effective tools that can be utilized in intelligent adaptive control strategies. The use of ANNs in the design of trajectory tracking controllers for robotic manipulators is dated back to the 1980s. Due to the flexibility of their structure as well as the continuous development and enhancement of their self-training algorithms, the use of ANNs in the field of robotic manipulator trajectory tracking control is being considered an important research area. This textbook explains in great detail the process of designing an effective controller to enhance the trajectory tracking performance of a two degree of freedom (2-DOF) robotic arm using neural networks. Feed-forward ANNs were used in both model-based and non-model-based control strategies. Since it also includes a deep explanation of the modeling of the 2-DOF robotic arm system including its actuating DC-motors and their control using a PD controller, this textbook can also serve as an effective educational tool for both undergraduate and graduate electrical engineering students.
Biographie de l'auteur
Mahmoud M. Al Ashi, MSc. Had my BEng degree in Telecommunications from City University London in 2007. My MSc degree in Electrical Engineering was obtained from the Islamic University of Gaza in 2014. My research interests include robotic manipulator control using neural networks, Nonlinear system modeling and control, and optimization methods.
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Robotic Manipulator Control Using Neural Networks
Edité par
LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 365928968X
ISBN 13 : 9783659289682
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Al Ashi MahmoudMahmoud M. Al Ashi, MSc. Had my BEng degree in Telecommunications from City University London in 2007. My MSc degree in Electrical Engineering was obtained from the Islamic University of Gaza in 2014. My research inter. N° de réf. du vendeur 5146034
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Robotic Manipulator Control Using Neural Networks
Edité par
LAP LAMBERT Academic Publishing Apr 2014, 2014
ISBN 10 : 365928968X
ISBN 13 : 9783659289682
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The learning capabilities of artificial neural networks (ANNs) to identify and emulate the behavior of complicated nonlinear systems have made them effective tools that can be utilized in intelligent adaptive control strategies. The use of ANNs in the design of trajectory tracking controllers for robotic manipulators is dated back to the 1980s. Due to the flexibility of their structure as well as the continuous development and enhancement of their self-training algorithms, the use of ANNs in the field of robotic manipulator trajectory tracking control is being considered an important research area. This textbook explains in great detail the process of designing an effective controller to enhance the trajectory tracking performance of a two degree of freedom (2-DOF) robotic arm using neural networks. Feed-forward ANNs were used in both model-based and non-model-based control strategies. Since it also includes a deep explanation of the modeling of the 2-DOF robotic arm system including its actuating DC-motors and their control using a PD controller, this textbook can also serve as an effective educational tool for both undergraduate and graduate electrical engineering students. 100 pp. Englisch. N° de réf. du vendeur 9783659289682
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Robotic Manipulator Control Using Neural Networks : A research case study onto a 2-DOF robotic arm
Edité par
LAP LAMBERT Academic Publishing, 2014
ISBN 10 : 365928968X
ISBN 13 : 9783659289682
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The learning capabilities of artificial neural networks (ANNs) to identify and emulate the behavior of complicated nonlinear systems have made them effective tools that can be utilized in intelligent adaptive control strategies. The use of ANNs in the design of trajectory tracking controllers for robotic manipulators is dated back to the 1980s. Due to the flexibility of their structure as well as the continuous development and enhancement of their self-training algorithms, the use of ANNs in the field of robotic manipulator trajectory tracking control is being considered an important research area. This textbook explains in great detail the process of designing an effective controller to enhance the trajectory tracking performance of a two degree of freedom (2-DOF) robotic arm using neural networks. Feed-forward ANNs were used in both model-based and non-model-based control strategies. Since it also includes a deep explanation of the modeling of the 2-DOF robotic arm system including its actuating DC-motors and their control using a PD controller, this textbook can also serve as an effective educational tool for both undergraduate and graduate electrical engineering students. N° de réf. du vendeur 9783659289682
Quantité disponible : 1 disponible(s)
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Robotic Manipulator Control Using Neural Networks
Edité par
LAP LAMBERT Academic Publishing Apr 2014, 2014
ISBN 10 : 365928968X
ISBN 13 : 9783659289682
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The learning capabilities of artificial neural networks (ANNs) to identify and emulate the behavior of complicated nonlinear systems have made them effective tools that can be utilized in intelligent adaptive control strategies. The use of ANNs in the design of trajectory tracking controllers for robotic manipulators is dated back to the 1980s. Due to the flexibility of their structure as well as the continuous development and enhancement of their self-training algorithms, the use of ANNs in the field of robotic manipulator trajectory tracking control is being considered an important research area. This textbook explains in great detail the process of designing an effective controller to enhance the trajectory tracking performance of a two degree of freedom (2-DOF) robotic arm using neural networks. Feed-forward ANNs were used in both model-based and non-model-based control strategies. Since it also includes a deep explanation of the modeling of the 2-DOF robotic arm system including its actuating DC-motors and their control using a PD controller, this textbook can also serve as an effective educational tool for both undergraduate and graduate electrical engineering students.Books on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Englisch. N° de réf. du vendeur 9783659289682
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Robotic Manipulator Control Using Neural Networks
Edité par
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10 : 365928968X
ISBN 13 : 9783659289682
Neuf
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Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. 100. N° de réf. du vendeur 26128057597
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Robotic Manipulator Control Using Neural Networks
Edité par
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10 : 365928968X
ISBN 13 : 9783659289682
Neuf
Couverture souple
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand pp. 100 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 131448610
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Image d'archives
Robotic Manipulator Control Using Neural Networks
Edité par
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10 : 365928968X
ISBN 13 : 9783659289682
Neuf
Couverture souple
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND pp. 100. N° de réf. du vendeur 18128057591
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