ANFIS Control for Robotic Manipulators: Adaptive Neuro Fuzzy Inference Systems for Intelligent Control par Jimit Patel/ Rishi Gianchandani: Brand New Paperback (2011)

A propos de cet article

88 pages. 8.66x5.91x0.20 inches. In Stock.

N� de r�f. du vendeur 3846591718

Contacter le vendeur

Signaler cet article

D�tails bibliographiques

Titre: ANFIS Control for Robotic Manipulators: Adaptive Neuro Fuzzy Inference Systems for Intelligent Control
�diteur: LAP LAMBERT Academic Publishing
Date de parution: 2011
Langue: anglais
ISBN � 10 chiffres: 3846591718
ISBN � 13 chiffres: 9783846591710
Reliure: Paperback
�tat de l'article: Brand New

A propos de ce titre

Synopsis

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.

Pr�sentation de l'�diteur

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.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.