Genetic programming based output regulation via optimal inversion for nonlinear systems

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

@InProceedings{Kobayashi:2011:SII,
  author =       "T. Kobayashi and T. Kimoto and J. Imae",
  title =        "Genetic programming based output regulation via
                 optimal inversion for nonlinear systems",
  booktitle =    "IEEE/SICE International Symposium on System
                 Integration (SII 2011)",
  year =         "2011",
  month =        "20-22 " # dec,
  pages =        "398--403",
  address =      "Kyoto",
  size =         "6 pages",
  abstract =     "In this paper, we deal with an output regulation for
                 nonlinear systems. Especially, when it comes to the
                 output feedback control problem for nonlinear systems,
                 it would be difficult to solve. From a practical point
                 of view, it is an important issue to design a feedback
                 controller using only output information. We introduce
                 a certain kind of optimal inverse system for the output
                 feedback control design. The optimal inverse system is
                 a new concept. With the optimal inverse system, we
                 obtain feedback controllers using only output
                 information. In the proposed method, Genetic
                 Programming (GP) also plays a key role. We use the GP's
                 emergent ability for the control design. However, it is
                 known that GP requires a lot of computation for
                 evaluation of the individuals. The high computation
                 load is one of the obstacles in the GP based control
                 design. We adopt the so-called efficient GP, which is
                 suitably modified for control design methods. Finally,
                 some simulation results are given to demonstrate the
                 effectiveness of the proposed control design.",
  keywords =     "genetic algorithms, genetic programming, GP based
                 control design, genetic programming based output
                 regulation, nonlinear system, optimal inverse system,
                 optimal inversion, output feedback control, control
                 system synthesis, feedback, nonlinear control systems,
                 optimal control",
  DOI =          "doi:10.1109/SII.2011.6147481",
  notes =        "Also known as \cite{6147481}",
}

Genetic Programming entries for Tomoaki Kobayashi T Kimoto Joe Imae

Citations