Discrete Controller Synthesis Based on Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Rami A. Maher and Mohamed J. Mohamed",
  title =        "Discrete Controller Synthesis Based on Genetic
  journal =      "WSEAS Transactions on Systems and Control",
  year =         "2015",
  volume =       "10",
  number =       "81",
  pages =        "763--775",
  keywords =     "genetic algorithms, genetic programming, Block Diagram
                 Oriented Genetic Programming, Deadbeat Controller",
  ISSN =         "2224-2856",
  URL =          "http://wseas.org/wseas/cms.action?id=10192",
  URL =          "http://www.wseas.org/multimedia/journals/control/2015/b605803-429.pdf",
  size =         "13 pages",
  abstract =     "In this paper, an alternative way of a discrete
                 controller synthesis is introduced. The synthesis is
                 based on a proposed genetic programming algorithm,
                 which is named Block Diagram Oriented Genetic
                 Programming BDOGP. The standard GP structure tree is
                 modified in such a way to obtain a complete block
                 diagram of the discrete controller that satisfies a
                 deadbeat response in a closed-loop system. In one
                 framework solution, the algorithm gives both the block
                 diagram topology and the values to the parameters
                 within the controller structure. A new numeric constant
                 mutation operation is added to the algorithm to
                 strengthen the search for optimal parameters of the
                 BDOGP solutions. Two examples are introduced to
                 validate the use of the proposed algorithm, and for the
                 sake of completeness, the state-space approach design
                 of a deadbeat response is introduced briefly. For a
                 servo system, a comparison between the results of the
                 GP and the conventional state-space solutions shows the
                 accuracy of the GP approach. The second example
                 considers a temperature control in an HVAC system.",

Genetic Programming entries for Rami A Maher Mohamed J Mohamed