Automatic synthesis of both the topology and parameters for a robust controller for a non-minimal phase plant and a three-lag plant by means of genetic programming

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@InProceedings{koza:1999:IEEECDC,
  author =       "John R. Koza and Martin A. Keane and Jessen Yu and 
                 Forrest H {Bennett III} and William Mydlowec and 
                 Oscar Stiffelman",
  title =        "Automatic synthesis of both the topology and
                 parameters for a robust controller for a non-minimal
                 phase plant and a three-lag plant by means of genetic
                 programming",
  booktitle =    "Proceedings of 1999 IEEE Conference on Decision and
                 Control",
  year =         "1999",
  pages =        "5292--5300",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.genetic-programming.com/jkpdf/ieeecdc1999.pdf",
  abstract =     "This paper describes how genetic programming can be
                 used to automate the synthesis of the design of both
                 the topology and parameter values for controllers. The
                 method described in this paper automatically makes
                 decisions concerning the total number of processing
                 blocks to be employed in the controller, the type of
                 each block, the topological interconnections between
                 the blocks, the values of all parameters for the
                 blocks, and the existence, if any, of internal feedback
                 between the blocks of the overall controller. This
                 design process can readily combine optimization of
                 performance (e.g., by a metric such as the integral of
                 the time-weighted error) with time-domain constraints
                 and frequency-domain constraints. Genetic programming
                 is applied to two illustrative problems of controller
                 synthesis: the design of a robust controller for a
                 non-minimal-phase plant and the design of a robust
                 controller for a three-lag plant. A previously
                 published PID compensator (Astrom and Hagglund 1995)
                 for the three-lag plant delivers credible performance.
                 The automatically created controller is better than 7.2
                 times as effective as the previous controller as
                 measured by the integral of the time-weighted absolute
                 error, has only 50% of the rise time in response to the
                 reference input, has only 35% of the settling time, and
                 is 92.7 dB better in terms of suppressing the effects
                 of disturbance at the plant input.",
  notes =        "IEEE CDC-99",
}

Genetic Programming entries for John Koza Martin A Keane Jessen Yu Forrest Bennett William J Mydlowec Oscar Stiffelman