A new algorithm for real-time optimization of constrained nonlinear control systems

Joe Imae, Jun Ogino, Tomoaki Kobayashi, Guisheng Zhai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

When it comes to the real-time optimization of nonlinear control systems, model predictive control (MPC) and state-dependent Riccati equation (SDRE) methods are known to be effective and reliable. In this paper, we propose a new type of real-time control method for constrained nonlinear systems and demonstrate by some numerical simulations that the proposed method is also effective and reliable. In addition, by using our method, we show that there is a certain kind of relationship between the MPC and SDRE methods.

Original languageEnglish
Title of host publicationProceedings of the 2006 IEEE International Symposium on Intelligent Control, ISIC
Pages1977-1982
Number of pages6
DOIs
Publication statusPublished - 2006 Dec 1
EventJoint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC) - Munich, Germany
Duration: 2006 Oct 42006 Oct 6

Publication series

NameIEEE International Symposium on Intelligent Control - Proceedings

Conference

ConferenceJoint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC)
CountryGermany
CityMunich
Period06/10/406/10/6

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Imae, J., Ogino, J., Kobayashi, T., & Zhai, G. (2006). A new algorithm for real-time optimization of constrained nonlinear control systems. In Proceedings of the 2006 IEEE International Symposium on Intelligent Control, ISIC (pp. 1977-1982). [4064964] (IEEE International Symposium on Intelligent Control - Proceedings). https://doi.org/10.1109/ISIC.2006.285639