Application of System Identification Techniques to Aircraft Gas Turbine Engines

C Evans, PJ Fleming, DC Hill, John Norton, I Pratt, D Rees, K Rodriguez-Vazquez

Research output: Contribution to journalArticle

36 Citations (Scopus)


A variety of system identification techniques are applied to the modelling of aircraft gas turbine dynamics. The motivation behind the study is to improve the efficiency and cost-effectiveness of system identification techniques currently used in the industry. Three system identification approaches are outlined in this paper. They are based upon: multisine testing and frequency-domain identification, time-varying models estimated using extended least squares with optimal smoothing, and multiobjective genetic programming to select model structure. (C) 2001 Elsevier Science Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)135-148
Number of pages14
JournalControl Engineering Practice
Issue number2
Publication statusPublished - 1 Feb 2001


  • structure selection
  • gas turbines
  • frequency domain
  • genetic algorithms
  • multisine signals
  • system identification
  • least-squares estimation
  • time-varying systems


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