Efficiency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems

In this paper, we derive the asymptotic Cramér-Rao lower bound for the continuous-time output error model structure and provide an analysis of the statistical efficiency of the Simplified Refined Instrumental Variable method for Continuous-time systems (SRIVC) based on sampled data. It is shown that the asymptotic Cramér-Rao lower bound is independent of the intersample behaviour of the noise-free system output and hence only depends on the intersample behaviour of the system input. We have also shown that, at the converging point of the SRIVC algorithm, the estimates do not depend on the intersample behaviour of the measured output. It is then proven that the SRIVC estimator is asymptotically efficient for the output error model structure under mild conditions. Monte Carlo simulations are performed to verify the asymptotic Cramér-Rao lower bound and the asymptotic covariance of the SRIVC estimates.