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Robotic Manipulator Control Using Neural Networks: A research case study onto a 2-DOF robotic arm - Brossura
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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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L'autore
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
Editore:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 365928968X
ISBN 13: 9783659289682
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Condizione: 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. Codice articolo 5146034
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Robotic Manipulator Control Using Neural Networks
Editore:
LAP LAMBERT Academic Publishing Apr 2014, 2014
ISBN 10: 365928968X
ISBN 13: 9783659289682
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783659289682
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Robotic Manipulator Control Using Neural Networks : A research case study onto a 2-DOF robotic arm
Editore:
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 365928968X
ISBN 13: 9783659289682
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783659289682
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Robotic Manipulator Control Using Neural Networks
Editore:
LAP LAMBERT Academic Publishing Apr 2014, 2014
ISBN 10: 365928968X
ISBN 13: 9783659289682
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783659289682
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Robotic Manipulator Control Using Neural Networks
Editore:
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 365928968X
ISBN 13: 9783659289682
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Robotic Manipulator Control Using Neural Networks
Editore:
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 365928968X
ISBN 13: 9783659289682
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Da: Majestic Books, Hounslow, Regno Unito
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Condizione: 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. Codice articolo 131448610
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Robotic Manipulator Control Using Neural Networks
Editore:
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 365928968X
ISBN 13: 9783659289682
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND pp. 100. Codice articolo 18128057591
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