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Nonlinear Model Structure Selection Using Evolutionary Optimisation Methods

  • Gennady G. Kulikov
  • Haydn A. Thompson
Part of the Advances in Industrial Control book series (AIC)

Abstract

In previous chapters, it was shown how linear and nonlinear models of a gas turbine engine could be obtained using identification methods. A priori knowledge of the engine dynamics was used to estimate engine model parameters when the model structure is selected.

Keywords

Genetic Programming Multiobjective Optimisation Multiobjective Optimisation Problem Engine Model Fuel Flow 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Gennady G. Kulikov
    • 1
  • Haydn A. Thompson
    • 2
  1. 1.Department of Automated Control SystemsUfa State Aviation Technical UniversityRussia
  2. 2.Department of Automatic Control and Systems EngineeringThe University of SheffieldSheffieldUK

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