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Publicado por Springer Verlag, Singapore, SG, 2020
ISBN 10: 9811555052 ISBN 13: 9789811555053
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Añadir al carritoCondición: New. pp. XVII, 127 42 illus., 35 illus. in color. 2020th edition NO-PA16APR2015-KAP.
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Publicado por Springer Nature Singapore, Springer Nature Singapore Sep 2020, 2020
ISBN 10: 9811555052 ISBN 13: 9789811555053
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 42,79
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors¿ papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 148 pp. Englisch.
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors' papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc.This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduateand graduate students in colleges and universities.
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Añadir al carritoPaperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Publicado por Springer Nature Singapore, Springer Nature Singapore Jun 2020, 2020
ISBN 10: 9811555028 ISBN 13: 9789811555022
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoBuch. Condición: Neu. Neuware -This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors¿ papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 148 pp. Englisch.
Idioma: Inglés
Publicado por Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811555028 ISBN 13: 9789811555022
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 57,68
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors' papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc.This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduateand graduate students in colleges and universities.
Idioma: Inglés
Publicado por Springer Verlag, Singapore, SG, 2020
ISBN 10: 9811555052 ISBN 13: 9789811555053
Librería: Rarewaves.com UK, London, Reino Unido
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Añadir al carritoCondición: New. Print on Demand pp. XVII, 127 42 illus., 35 illus. in color.
Idioma: Inglés
Publicado por Springer Nature Singapore Sep 2020, 2020
ISBN 10: 9811555052 ISBN 13: 9789811555053
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 42,79
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors' papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc.This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities. 148 pp. Englisch.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. XVII, 127 42 illus., 35 illus. in color.
Idioma: Inglés
Publicado por Springer Nature Singapore Jun 2020, 2020
ISBN 10: 9811555028 ISBN 13: 9789811555022
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 53,49
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors' papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc.This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities. 148 pp. Englisch.
Librería: moluna, Greven, Alemania
EUR 39,60
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Is the first book on the safe control of robotic systems based on dynamic neural networks Presents a general theoretical framework for robot systems with redundant DOFs, which is capable of enhancing safety and robustness, and optimizing flexibili.