Real-time Iterative Learning Control : Design and Applications

Iterative learning control (ILC) has been a major control design methodology for twenty years; numerous algorithms have been developed to solve real-time control problems, from MEMS to batch reactors, characterised by repetitive control operations. Real-time Iterative Learning Control demonstrates h...

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Dades bibliogràfiques
Autors principals: Xu, Jian-Xin, Panda, Sanjib K. (Autor), Lee, Tong Heng, 1958- (Autor)
Format: Livre numérique
Idioma:Anglais
Publicat: London : Springer London 2009.
Cham : Springer Nature
Col·lecció:Advances in Industrial Control
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Accès Université d'Orléans
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Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Real-time Iterative Learning Control, Texte imprimé, 9781848821743
• Real-time Iterative Learning Control, Texte imprimé, 9781849968249
• Real-time Iterative Learning Control, Texte imprimé, 9781848821767
Taula de continguts:
  • to ILC: Concepts, Schematics, and Implementation
  • Robust Optimal ILC Design for Precision Servo: Application to an XY Table
  • ILC for Precision Servo with Input Non-linearities: Application to a Piezo Actuator
  • ILC for Process Temperature Control: Application to a Water-heating Plant
  • ILC with Robust Smith Compensator: Application to a Furnace Reactor
  • Plug-in ILC Design for Electrical Drives: Application to a PM Synchronous Motor
  • ILC for Electrical Drives: Application to a Switched Reluctance Motor
  • Optimal Tuning of PID Controllers Using Iterative Learning Approach
  • Calibration of Micro-robot Inverse Kinematics Using Iterative Learning Approach
  • Conclusion.