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A TWO-STAGE ALGORITHM FOR COMBINED ITERATIVE LEARNING CONTROL WITH REAL-TIME FEEDBACK; A STATE SPACE FORMULATION

  • Insik Chin
  • , Moonki Cho
  • , S. Joe Qin
  • , Kwang S. Lee*
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

A new combined iterative learning control (ILC) and real-time feedback control (RFC) algorithm has been proposed on the basis of the state space formulation and the two-stage implementation. The proposed method assumes Gaussian disturbances and deals with the batch-wise recurrent and nonrecurrent disturbances by independent LQG formulation for ILC and RFC, respectively. in this way, the problem with the existing combined ILC-RFC methods that the nonrecurrent real-time disturbance causees ILC to digress from its convergence track along the run index could be overcome. The performance of the proposed technique has been demonstrated using numerical simulation. Copyright © 2005 IFAC.
Original languageEnglish
Title of host publicationPROCEEDINGS of the 16th IFAC World Congress
PublisherElsevier
Pages225-230
ISBN (Print)008045108X, 9780080451084
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 - Prague, Czech Republic
Duration: 3 Jul 20058 Jul 2005
https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/38/issue/1

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1
Volume38
ISSN (Print)1474-6670

Conference

Conference16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005
PlaceCzech Republic
CityPrague
Period3/07/058/07/05
Internet address

Research Keywords

  • Batch process control
  • Disturbance rejection
  • Iterative learning control
  • LQG control
  • Run-to-run control

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