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Sinopsis
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.
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Reseña del editor
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.
Biografía del autor
Jimit 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 Electrical Engineering with specialization in Control and Robotics from North Carolina State University, USA.
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ANFIS Control for Robotic Manipulators
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LAP LAMBERT Academic Publishing Nov 2011, 2011
ISBN 10: 3846591718
ISBN 13: 9783846591710
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783846591710
Cantidad disponible: 2 disponibles
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ANFIS Control for Robotic Manipulators
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846591718
ISBN 13: 9783846591710
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: 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. Nº de ref. del artículo: 5501783
Cantidad disponible: Más de 20 disponibles
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ANFIS Control for Robotic Manipulators : Adaptive Neuro Fuzzy Inference Systems for Intelligent Control
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846591718
ISBN 13: 9783846591710
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783846591710
Cantidad disponible: 1 disponibles
Imagen del vendedor
ANFIS Control for Robotic Manipulators
Publicado por
LAP LAMBERT Academic Publishing Nov 2011, 2011
ISBN 10: 3846591718
ISBN 13: 9783846591710
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. Nº de ref. del artículo: 9783846591710
Cantidad disponible: 2 disponibles
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ANFIS Control for Robotic Manipulators: Adaptive Neuro Fuzzy Inference Systems for Intelligent Control
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846591718
ISBN 13: 9783846591710
Nuevo
Paperback
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. Nº de ref. del artículo: 3846591718
Cantidad disponible: 1 disponibles