A GP-based design method for nonlinear control systems using differential flatness

Joe Imae, Yasuhiko Morita, Guisheng Zhai, Tomoaki Kobayashi

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

Abstract

In this paper, we propose a practical and systematic approach to the control design method for MIMO systems based on flatness theory. The proposed approach focuses on the emergent ability of genetic programming and the decoupling ability of Descusse & Moog's algorithm. The former could generate nonlinear functions as the flat outputs, and the latter could construct dynamic controllers through the decoupling process. Some simulations are carried out to show the effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2010 World Automation Congress, WAC 2010
Publication statusPublished - 2010
Event2010 World Automation Congress, WAC 2010 - Kobe
Duration: 2010 Sep 192010 Sep 23

Other

Other2010 World Automation Congress, WAC 2010
CityKobe
Period10/9/1910/9/23

    Fingerprint

Keywords

  • Decoupling
  • Differentially flat
  • Genetic programming
  • Nonlinear control design

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Imae, J., Morita, Y., Zhai, G., & Kobayashi, T. (2010). A GP-based design method for nonlinear control systems using differential flatness. In 2010 World Automation Congress, WAC 2010 [5665445]