Real-time optimization for nonlinear systems using algorithmic control

Tomoaki Kobayashi, Michiyuki Magono, Joe Imae, Kazutaka Yoshimizu, Guisheng Zhai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

A new method for on-line optimal control of nonlinear systems is proposed. The proposed method is based on the algorithms for obtaining the numerical solutions of optimal control problems. According to this idea, we can use the iterative computational method for the on-line optimal control problems. in this paper, we adopt the Riccati-equation based algorithm, one of the iterative algorithms, and demonstrate the proposed algorithmic method is applicable to such mechanical systems as fast-sampling is required. Copyright copy; 2005 IFAC.

Original languageEnglish
Title of host publicationProceedings of the 16th IFAC World Congress, IFAC 2005
PublisherIFAC Secretariat
Pages474-479
Number of pages6
ISBN (Print)008045108X, 9780080451084
DOIs
Publication statusPublished - 2005
Externally publishedYes

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume16
ISSN (Print)1474-6670

Keywords

  • Algorithmic design
  • Nonlinear system
  • Real time optimization

ASJC Scopus subject areas

  • Control and Systems Engineering

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