Design Of A Pilot-Activated Recovery System Using Genetic Search Methods

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  title =        "Design Of A Pilot-Activated Recovery System Using
                 Genetic Search Methods",
  author =       "G. D. Sweriduk and M. L. Steinberg and P. K. Menon",
  year =         "1999",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  citeseer-references = "\cite{oai:CiteSeerPSU:364688}",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:523451",
  rights =       "unrestricted",
  size =         "10 pages",
  abstract =     "Control design tasks often require the use of
                 trial-and-error search methods to obtain a satisfactory
                 solution. Depending upon the nature and the number of
                 tuning parameters or functions, the search process can
                 be very discontinuous and nonconvex. The genetic search
                 methods are a recently developed family of techniques
                 for optimization which offer certain advantages over
                 other techniques. These include greater freedom in
                 defining cost functions and constraints, and the
                 ability to automate the design process. Most notably,
                 though, is the ability to construct new control laws
                 and the potential to generate non-intuitive solutions
                 as well. This paper demonstrates the application of
                 genetic search methods to design a Pilot-Activated
                 Recovery System (PARS) for a modern fighter aircraft.
                 The PARS is a guidance law that transfers the aircraft
                 from any initial attitude to a wings-level, nose-up,
                 recovered flight condition. This system is useful in
                 cases of pilot disorientation. A 6 degree-of-freedom
                 nonlinear model of a modern, high-performance aircraft
                 is used for design. The genetic search seeks to produce
                 nonlinear feedback functions to meet the specified
                 goals and constraints. This intricate problem
                 highlights some of the advantages of this emerging
                 search technique.",
  notes =        "online Nov 2004",

Genetic Programming entries for G D Sweriduk M L Steinberg P K Menon