Non-Asymptotic Confidence Regions for Errors-In-Variables Systems
Non-Asymptotic Confidence Regions for Errors-In-Variables Systems is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include sign, Confidence region, state space, noise, system identification, uncertainty quantification, confidence interval, fault detection and isolation, applied mathematics, and mathematics. The paper deals with constructing non-asymptotic confidence regions for Errors-In-Variables (EIV) systems when there is noise on both the input and the output signal.