Skip to main content

Practical iterative learning control using weighted local symmetrical double-integral

  • Chapter
  • First Online:
Iterative learning control

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 248))

  • 144 Accesses

Abstract

A new iterative learning control (ILC) updating law is proposed for tracking control of continuous linear system over a finite time interval. The ILC is applied as a feedforward controller to the existing feedback controller. By a weighted local symmetrical double-integration of the feedback control signal of the previous iteration, the ILC updating law takes a simple form with only two design parameters: the learning gain and the range of local double-integration. Convergence analysis is presented together with a design procedure. Also, the ILC convergence rate has been shown to be limited by the characteristics of the feedback controlled system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Editor information

Yangquan Chen PhD Changyun Wen PhD

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag London Limited

About this chapter

Cite this chapter

(1999). Practical iterative learning control using weighted local symmetrical double-integral. In: Chen, Y., Wen, C. (eds) Iterative learning control. Lecture Notes in Control and Information Sciences, vol 248. Springer, London. https://doi.org/10.1007/BFb0110123

Download citation

  • DOI: https://doi.org/10.1007/BFb0110123

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-190-0

  • Online ISBN: 978-1-84628-539-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics