A nonlinear control system design based on HJB/HJI/FBI equations via a differential genetic programming approach

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Joe Imae and Yoshiteru Kikuchi and 
                 Nobuyuki Ohtsuki and Tomoaki Kobayashi",
  title =        "A nonlinear control system design based on
                 {HJB/HJI/FBI} equations via a differential genetic
                 programming approach",
  booktitle =    "Proceedings of the 2003 Congress on Evolutionary
                 Computation CEC2003",
  editor =       "Ruhul Sarker and Robert Reynolds and 
                 Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and 
                 Tom Gedeon",
  pages =        "763--769",
  year =         "2003",
  publisher =    "IEEE Press",
  address =      "Canberra",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "8-12 " # dec,
  organisation = "IEEE Neural Network Council (NNC), Engineers Australia
                 (IEAust), Evolutionary Programming Society (EPS),
                 Institution of Electrical Engineers (IEE)",
  keywords =     "genetic algorithms, genetic programming, Automatic
                 control, Control systems, Design methodology,
                 Differential equations, Nonlinear control systems,
                 Nonlinear equations, Nonlinear systems, Optimal
                 control, Robust control, control system synthesis,
                 differentiation, nonlinear control systems, optimal
                 control, robust control, Francis-Byrnes-Isidori
                 equations, Hamilton-Jacobi-Bellman equations,
                 Hamilton-Jacobi-Isaacs equations, differential genetic
                 programming, nonlinear control system design, optimal
                 controllers, robust controllers",
  ISBN =         "0-7803-7804-0",
  DOI =          "doi:10.1109/CEC.2003.1299744",
  abstract =     "Based on the differential genetic programming, a new
                 design method is proposed for optimal and/or robust
                 controllers of nonlinear systems. First we introduce a
                 new type of the genetic programming (GP), so-called
                 differential GP (DGP), combining GP with an automatic
                 differentiation scheme, which could solve
                 Hamilton-Jacobi-Bellman (HJB) / Hamilton-Jacobi-Isaacs
                 (HJI) / Francis-Byrnes-Isidori (FBI) equations. Lastly,
                 the effectiveness of a DGP based design method is
                 demonstrated through some design examples of nonlinear
  notes =        "CEC 2003 - A joint meeting of the IEEE, the IEAust,
                 the EPS, and the IEE.",

Genetic Programming entries for Joe Imae Yoshiteru Kikuchi Nobuyuki Ohtsuki Tomoaki Kobayashi