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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Xu, Jian-Xin (Autor), Panda, Sanjib K. (Autor), Lee, Tong Heng (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Advances in Industrial Control,
Temas:
Control engineering.
Chemistry, Technical.
Manufactures.
Engineering design.
Electronics.
Control and Systems Theory.
Industrial Chemistry.
Machines, Tools, Processes.
Engineering Design.
Electronics and Microelectronics, Instrumentation.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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