An application of robust identification techniques to a fluid dynamics
problem is presented. The experimental data proceeds from a Taylor-Co
uette instability process, Its dynamics is usually modeled by a linear
PDE (partial differential equation) which does not describe adequatel
y certain oscillatory behavior, To this end we apply an identification
technique to produce a more suitable description, The dynamics of the
problem is excited by a tracer impulse and step injection, The output
consists of the tracer concentration at the outlet of the experimenta
l setup, The process prevents a delay which is identified parametrical
ly, For a given Reynolds number, the undelayed dynamics can be conside
red as linear and infinite dimensional, It is identified nonparametric
ally by means of a tuned asymptotically optimal l(1) robust identifica
tion procedure, Several experiments are performed on this fluid dynami
cs process for different Reynolds numbers and inputs, The identificati
on procedure is applied to this experimental data to obtain linear del
ayed models in each case.