Identification of continuous systems using digital low-pass filters

摘要: Direct methods for recursive identification of continuous systems from sampled input–output data using digital low–pass filters are discussed. The introduced to avoid direct approximations system signal derivatives data. Using a pre–designed filter, an approximated discrete–time estimation model is constructed easily. Thus the parameters can be identified directly by algorithms. Numerical results, show that parameter estimates not so sensitive pass-band and if filter designed its matches closely thus noise effects sufficiently reduced, accurate obtained Two classes (FIR IIR filter) considered. It shown some other unified either or FIR filtering approach.