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Embedded Control System Multi by Ajwad Syed (9 results)
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Embedded Control System for a Multi DOF Robotic Manipulator
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3330071222 ISBN 13: 9783330071223
Condition: New.
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Embedded Control System for a Multi DOF Robotic Manipulator
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3330071222 ISBN 13: 9783330071223
Condition: New.
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Embedded Control System for a Multi DOF Robotic Manipulator
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3330071222 ISBN 13: 9783330071223
Paperback. Condition: Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock.
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Embedded Control System for a Multi DOF Robotic Manipulator
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3330071222 ISBN 13: 9783330071223
Taschenbuch. Condition: Neu. Embedded Control System for a Multi DOF Robotic Manipulator | Syed Ali Ajwad (u. a.) | Taschenbuch | 92 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783330071223 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Embedded Control System for a Multi DOF Robotic Manipulator
Language: English
Published by LAP LAMBERT Academic Publishing Mrz 2018, 2018
ISBN 10: 3330071222 ISBN 13: 9783330071223
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an expert's view of the control law design for robotic manipulators. Control algorithm dictates the performance and efficiency of these manipulators. Designing of control algorithm requires the knowledge of robot dynamics as well as control theory. Results of robust and optimal control algorithms for multi DOF robotics manipulators have been presented in this book. These results will lead towards the designing of hybrid techniques to improve the efficacy of industrial robotic arms involved in much complex tasks. 92 pp. Englisch.
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Embedded Control System for a Multi DOF Robotic Manipulator
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3330071222 ISBN 13: 9783330071223
Condition: New. Print on Demand.
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Embedded Control System for a Multi DOF Robotic Manipulator
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3330071222 ISBN 13: 9783330071223
Condition: New. PRINT ON DEMAND.
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Embedded Control System for a Multi DOF Robotic Manipulator
Language: English
Published by LAP LAMBERT Academic Publishing Mär 2018, 2018
ISBN 10: 3330071222 ISBN 13: 9783330071223
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents an expert's view of the control law design for robotic manipulators. Control algorithm dictates the performance and efficiency of these manipulators. Designing of control algorithm requires the knowledge of robot dynamics as well as control theory. Results of robust and optimal control algorithms for multi DOF robotics manipulators have been presented in this book. These results will lead towards the designing of hybrid techniques to improve the efficacy of industrial robotic arms involved in much complex tasks.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.
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Embedded Control System for a Multi DOF Robotic Manipulator
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3330071222 ISBN 13: 9783330071223
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents an expert's view of the control law design for robotic manipulators. Control algorithm dictates the performance and efficiency of these manipulators. Designing of control algorithm requires the knowledge of robot dynamics as well as control theory. Results of robust and optimal control algorithms for multi DOF robotics manipulators have been presented in this book. These results will lead towards the designing of hybrid techniques to improve the efficacy of industrial robotic arms involved in much complex tasks.
