Algorithmic control for real-time optimization of nonlinear systems: Simulations and experiments

Joe Imae, Kazutaka Yoshimizu, Tomoaki Kobayashi, Guisheng Zhai

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

4 Citations (Scopus)

Abstract

A new method for real-time calculation of nonlinear optimal control problems is proposed. The proposed method is based on the iterative algorithms for obtaining the numerical solutions of optimal control problems. In this paper, we adopt the Riccati-equation based algorithm, which is one of the iterative algorithms, and demonstrate that the proposed 'algorithmic controller' is applicable to the Van der Pol problem, the crane problem, and the swing-up problem of an inverted pendulum by means of simulations and experiments.

Original languageEnglish
Title of host publicationProceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
Pages3729-3734
Number of pages6
DOIs
Publication statusPublished - 2005 Dec 1
Event44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 - Seville, Spain
Duration: 2005 Dec 122005 Dec 15

Publication series

NameProceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
Volume2005

Conference

Conference44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
CountrySpain
CitySeville
Period05/12/1205/12/15

ASJC Scopus subject areas

  • Engineering(all)

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    Imae, J., Yoshimizu, K., Kobayashi, T., & Zhai, G. (2005). Algorithmic control for real-time optimization of nonlinear systems: Simulations and experiments. In Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 (pp. 3729-3734). [1582742] (Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05; Vol. 2005). https://doi.org/10.1109/CDC.2005.1582742