Global identification of stochastic dynamical systems under different pseudo-static operating conditions: The functionally pooled ARMAX case
Keywords: Global model identification; Stochastic identification; Functionally pooled models; ARMAX models; Asymptotic analysis; Railway suspension modelling; AR, X, MA; AutoRegressive, eXogenous, Moving Average; ARX; AutoRegressive with eXogenous excitation; ARMAX