A variety of system identification techniques are applied to the modelling
of aircraft gas turbine dynamics. The motivation behind the study is to imp
rove the efficiency and cost-effectiveness of system identification techniq
ues currently used in the industry. Three system identification approaches
are outlined in this paper. They are based upon: multisine testing and freq
uency-domain identification, time-varying models estimated using extended l
east squares with optimal smoothing, and multiobjective genetic programming
to select model structure. (C) 2001 Elsevier Science Ltd. All rights reser
ved.