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 proceedingConference 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 publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Pages474-479
Number of pages6
Volume16
Publication statusPublished - 2005
Externally publishedYes
Event16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 - Prague
Duration: 2005 Jul 32005 Jul 8

Other

Other16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005
CityPrague
Period05/7/305/7/8

    Fingerprint

Keywords

  • Algorithmic design
  • Nonlinear system
  • Real time optimization

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Kobayashi, T., Magono, M., Imae, J., Yoshimizu, K., & Zhai, G. (2005). Real-time optimization for nonlinear systems using algorithmic control. In IFAC Proceedings Volumes (IFAC-PapersOnline) (Vol. 16, pp. 474-479)