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Advanced fuzzy logic technologies in industrial applications / Bai, Ying

Public ISBD Titre : Advanced fuzzy logic technologies in industrial applications Type de document : document électronique Auteurs : Bai, Ying, Auteur ; Wang, Dali, Auteur ; Zhuang, Hanqi, Auteur Editeur : Berlin : Springer Année de publication : 2006 Collection : Engineering ISBN/ISSN/EAN : 978-1-84628-468-7 Langues : Anglais (eng) Mots-clés : Automation Artificial  intelligence Engineering Structural  control  (Engineering) Artificial  Intelligence  (incl.  Robotics) Optical  pattern  recognition Index. décimale : 681.51 Systemes de régulation automatique en général.caractéristiques techniques de la cybernétique Résumé : The ability of fuzzy systems to provide shades of gray between "on or off" and "yes or no" is ideally suited to many of today’s complex industrial control systems. The static fuzzy systems usually discussed in this context fail to take account of inputs outside a pre-set range and their off-line nature makes tuning complicated. Advanced Fuzzy Logic Technologies in Industrial Applications addresses the problem by introducing a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs. The tuning process is a major focus in this volume because it is the most difficult stage in fuzzy control application. Using new methods such as µ-law technique, histogram equalization and the Bezier-based method, all detailed here, the tuning process can be significantly simplified and control performance improved. The other great strength of this book lies in the range and contemporaneity of its applications and examples which include: laser tracking and control; robot calibration; image processing and pattern recognition; medical engineering; audio systems; autonomous underwater vehicles and data mining. Advanced Fuzzy Logic Technologies in Industrial Applications is written to be easily understood by readers not having specialized knowledge of fuzzy logic and intelligent control. Design and application engineers and project managers working in control, as well as researchers and graduate students in the discipline will find much to interest them in this work. Note de contenu : Engineering, Control Engineering, Artificial Intelligence (incl. Robotics), Automation and Robotics, Pattern Recognition, Automotive and Aerospace Engineering, Traffic et Biomedical Engineering Advanced fuzzy logic technologies in industrial applications [document électronique] / Bai, Ying, Auteur ; Wang, Dali, Auteur ; Zhuang, Hanqi, Auteur . - Springer, 2006. - (Engineering) . ISBN : 978-1-84628-468-7 Langues : Anglais (eng) Mots-clés : Automation Artificial  intelligence Engineering Structural  control  (Engineering) Artificial  Intelligence  (incl.  Robotics) Optical  pattern  recognition Index. décimale : 681.51 Systemes de régulation automatique en général.caractéristiques techniques de la cybernétique Résumé : The ability of fuzzy systems to provide shades of gray between "on or off" and "yes or no" is ideally suited to many of today’s complex industrial control systems. The static fuzzy systems usually discussed in this context fail to take account of inputs outside a pre-set range and their off-line nature makes tuning complicated. Advanced Fuzzy Logic Technologies in Industrial Applications addresses the problem by introducing a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs. The tuning process is a major focus in this volume because it is the most difficult stage in fuzzy control application. Using new methods such as µ-law technique, histogram equalization and the Bezier-based method, all detailed here, the tuning process can be significantly simplified and control performance improved. The other great strength of this book lies in the range and contemporaneity of its applications and examples which include: laser tracking and control; robot calibration; image processing and pattern recognition; medical engineering; audio systems; autonomous underwater vehicles and data mining. Advanced Fuzzy Logic Technologies in Industrial Applications is written to be easily understood by readers not having specialized knowledge of fuzzy logic and intelligent control. Design and application engineers and project managers working in control, as well as researchers and graduate students in the discipline will find much to interest them in this work. Note de contenu : Engineering, Control Engineering, Artificial Intelligence (incl. Robotics), Automation and Robotics, Pattern Recognition, Automotive and Aerospace Engineering, Traffic et Biomedical Engineering

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
E00146	681.51 BAI	Ressources électroniques	Bibliothèque Centrale	Automatique	Disponible
E00145	681.51 BAI	Ressources électroniques	Bibliothèque Centrale	Automatique	Disponible