Abstract
This paper treats the identification of continuous-time models using arbitrary band-limited excitation signals. A modeling approach is presented that has the following two advantages: (1) asymptotically (the amount of data tends to infinity) there is no approximation error over the complete frequency band from DC to Nyquist, (2) it allows to identify general parametric noise models. The key idea is to combine a continuous-time plant model with a discrete-time noise model (=hybrid Box–Jenkins model structure).
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
