A GP-based Design Method for Nonlinear Control Systems using Differential Flatness

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Imae:2010:WAC,
  author =       "Joe Imae and Yasuhiko Morita and Guisheng Zhai and 
                 Tomoaki Kobayashi",
  title =        "A GP-based Design Method for Nonlinear Control Systems
                 using Differential Flatness",
  booktitle =    "World Automation Congress (WAC), 2010",
  year =         "2010",
  address =      "Kobe, Japan",
  month =        "19-23 " # sep,
  publisher =    "TSI Press",
  keywords =     "genetic algorithms, genetic programming, GP-based
                 design method, MIMO systems, decoupling process,
                 differential flatness theory, nonlinear control
                 systems, MIMO systems, control system synthesis,
                 nonlinear control systems",
  isbn13 =       "978-1-4244-9673-0",
  ISSN =         "2154-4824",
  broken =       "http://confconnect.info/confconnect/ocs/index.php?conference=wac&schedConf=WAC2010&page=paper&op=view&path[]=92",
  URL =          "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5665445",
  size =         "7 pages",
  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 and 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.",
  notes =        "Submarine. broken
                 http://confconnect.info/confconnect/ocs/index.php?conference=wac&schedConf=WAC2010&page=schedConf&op=presentations
                 Osaka Prefecture Univ., Sakai, Japan. Also known as
                 \cite{5665445}",
}

Genetic Programming entries for Joe Imae Yasuhiko Morita Guisheng Zhai Tomoaki Kobayashi

Citations