Application of System Identification Techniques to Aircraft Gas Turbine Engines

Research output: Contribution to journalArticle


  • C Evans
  • PJ Fleming
  • DC Hill
  • I Pratt
  • D Rees
  • K Rodriguez-Vazquez

Colleges, School and Institutes


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