Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846591718 ISBN 13: 9783846591710
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock.
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846591718 ISBN 13: 9783846591710
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. ANFIS Control for Robotic Manipulators | Adaptive Neuro Fuzzy Inference Systems for Intelligent Control | Jimit Patel (u. a.) | Taschenbuch | 88 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846591710 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing Nov 2011, 2011
ISBN 10: 3846591718 ISBN 13: 9783846591710
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Robots are highly reliable, dependable and technologically advanced factory equipment. The basic architecture of most commercial robots is fundamentally the same, consists of digital servo controlled electrical motor drives on serial-link kinematic machines, usually with no more than six axes (degrees of freedom). All are supplied with a proprietary controller. Virtually all robot applications require significant design and implementation effort by engineers and technicians. Each robot is unique considering the manner in which the components are put together to achieve performance that yields a competitive product. The most important considerations in the application of an industrial robot center on two issues: manipulation and integration. Through the years considerable research effort has been made in their controller design. In order to achieve accurate trajectory tracking and good control performance, a number of control schemes have been developed. Amongst these, ANFIS (Adaptive Neuro-Fuzzy Inference System) has provided best results for control of robotic manipulators as compared to the conventional control strategies. 88 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846591718 ISBN 13: 9783846591710
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patel JimitJimit Patel graduated from Nirma University (India) with B.Tech. Instrumentation & Control Engineering in 2010. He worked with Infosys Technologies Ltd. from 2010 to 2011 as a systems engineer. Currently, he is pursuing MS.
Language: English
Published by LAP LAMBERT Academic Publishing Nov 2011, 2011
ISBN 10: 3846591718 ISBN 13: 9783846591710
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Robots are highly reliable, dependable and technologically advanced factory equipment. The basic architecture of most commercial robots is fundamentally the same, consists of digital servo controlled electrical motor drives on serial-link kinematic machines, usually with no more than six axes (degrees of freedom). All are supplied with a proprietary controller. Virtually all robot applications require significant design and implementation effort by engineers and technicians. Each robot is unique considering the manner in which the components are put together to achieve performance that yields a competitive product. The most important considerations in the application of an industrial robot center on two issues: manipulation and integration. Through the years considerable research effort has been made in their controller design. In order to achieve accurate trajectory tracking and good control performance, a number of control schemes have been developed. Amongst these, ANFIS (Adaptive Neuro-Fuzzy Inference System) has provided best results for control of robotic manipulators as compared to the conventional control strategies.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846591718 ISBN 13: 9783846591710
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Robots are highly reliable, dependable and technologically advanced factory equipment. The basic architecture of most commercial robots is fundamentally the same, consists of digital servo controlled electrical motor drives on serial-link kinematic machines, usually with no more than six axes (degrees of freedom). All are supplied with a proprietary controller. Virtually all robot applications require significant design and implementation effort by engineers and technicians. Each robot is unique considering the manner in which the components are put together to achieve performance that yields a competitive product. The most important considerations in the application of an industrial robot center on two issues: manipulation and integration. Through the years considerable research effort has been made in their controller design. In order to achieve accurate trajectory tracking and good control performance, a number of control schemes have been developed. Amongst these, ANFIS (Adaptive Neuro-Fuzzy Inference System) has provided best results for control of robotic manipulators as compared to the conventional control strategies.