Modelling and Control for Intelligent Industrial Systems : Adaptive Algorithms in Robotics and Industrial Engineering

Incorporating intelligence in industrial systems can help to increase productivity, cut-off production costs, and to improve working conditions and safety in industrial environments. This need has resulted in the rapid development of modeling and control methods for industrial systems and robots, of...

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Bibliografische gegevens
Hoofdauteur: Rigatos, Gerasimos G.
Formaat: Livre numérique
Taal:Anglais
Gepubliceerd in: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Editie:1st ed. 2011.
Reeks:Intelligent Systems Reference Library 7
Online toegang:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Opmerking: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Modelling and Control for Intelligent Industrial Systems, Texte imprimé, 9783642178740
• Modelling and Control for Intelligent Industrial Systems, Texte imprimé, 9783642178740
• Modelling and Control for Intelligent Industrial Systems, Texte imprimé, 9783642178764
• Modelling and Control for Intelligent Industrial Systems, Texte imprimé, 9783662506653
• Modelling and Control for Intelligent Industrial Systems, Texte imprimé, 9783642178740
• Modelling and Control for Intelligent Industrial Systems, Texte imprimé, 9783642178764
• Modelling and Control for Intelligent Industrial Systems, Texte imprimé, 9783662506653
Inhoudsopgave:
  • Industrial robots in contact-free operation Industrial robots in compliance tasks Mobile robots and autonomous vehicles Adaptive control methods for industrial systems .-Robust control methods for industrial systems Filtering and estimation methods for industrial systems Sensor fusion-based control for industrial systems Fault detection and isolation for industrial systems Application of fault diagnosis to industrial systems Optimization methods for motion planning of multi-robot systems Optimization methods for target tracking by multi-robot systems Optimization methods for industrial automation Machine learning methods for industrial systems control Machine learning methods for industrial systems fault diagnosis Applications of machine vision to industrial systems