Continuous-time model identification from sampled data: Implementation issues and performance evaluation

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An optimal IV technique for identifying continuous-time transfer function model of multiple input systems (2007, methodology): “Several IV estimators have been developed for CT SISO system identification (Garnier et al. 2003).”
Refined Instrumental Variable Identification of Continuous-time Hybrid Box-Jenkins Models (2008, methodology): “The first of these considers the use of RIVC in the ‘dominant mode’ simplification of a giant dynamic simulation model used in climate research; and the second is the re-investigation of a demonstration example [ 4 ] used in both the CAPTAIN and CONTSID Toolboxes for MATLAB (see conclusions Section ”
Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis (2018, background): “However, the high sampling frequency will result in the eigenvalue being close to the unit circle in the z-domain, which can affect the stability for parameter identification [52].”
A frequency domain step response identification method for continuous-time processes with time delay (2010, background): “Most existing references [1–4] have been devoted to identification methods of delay-free linear time-invariant systems, including thosebasedonusing thepseudorandombinary sequence (PRBS) signal for identification test [5–10].”