Nonlinear model structure identification using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Gray:1998:CEP,
  author =       "Gary J. Gray and David J. Murray-Smith and Yun Li and 
                 Ken C. Sharman and Thomas Weinbrenner",
  title =        "Nonlinear model structure identification using genetic
                 programming",
  journal =      "Control Engineering Practice",
  volume =       "6",
  pages =        "1341--1352",
  year =         "1998",
  number =       "11",
  keywords =     "genetic algorithms, genetic programming, nonlinear
                 models, system identification, helicopter dynamics,
                 Nonlinear control systems, Identification (control
                 systems), Mathematical programming, Differential
                 equations, Error analysis, Mathematical models,
                 Computer simulation, Water tanks, Helicopter rotors,
                 Speed control, Control system analysis",
  URL =          "http://www.sciencedirect.com/science/article/B6V2H-3W1GPR8-4/1/047d9c74e28a6a1a117a3ed9a6d6c409",
  abstract =     "Genetic Programming is an optimisation procedure which
                 may be applied to the identification of the nonlinear
                 structure of a dynamic model from experimental data. In
                 such applications, the model structure may be described
                 either by differential equations or by a block diagram
                 and the algorithm is configured to minimise the sum of
                 the squares of the error between the recorded
                 experimental response from the real system and the
                 corresponding simulation model output. The technique
                 has been applied successfully to the modelling of a
                 laboratory scale process involving a coupled water tank
                 system and to the identification of a helicopter rotor
                 speed controller and engine from flight test data. The
                 resulting models provide useful physical insight.",
}

Genetic Programming entries for Gary J Gray David James Murray-Smith Yun Li Kenneth C Sharman Thomas Weinbrenner

Citations