IDENTIFICATION OF CONTINUOUS-TIME NOISE MODELS

Current methods identify the physical parameters of continuous-time ARMA(X) processes via discrete-time approximations. Based on a frequency domain maximum likelihood estimator described in Ljung (1999), this paper proposes an exact continuous-time noise modeling approach. The theory is illustrated on real measurement examples.