DOI

Throughout various engineering applications, measurement science faces the problem that parameters of interest are not directly measurable with a specifically designed instrument. As such, one relies on indirect measurement which is mapped through a mathematical model to the parameters of interest. The parameters of interest are consequently estimated statistically through analyzing the measurements. This field is known as system identification and serves applications in control, mechanical, and biomedical engineering among others. Anomalous diffusion pops up in impedance and dielectric spectroscopy such that the application of system identification techniques in electrochemical, microwave, and biomedical engineering may be affected by diffusion. The presence of diffusion may introduce systematic errors or bias when applying system identification techniques of linear time-invariant (LTI) systems. In this paper, we revisit classical LTI identification in the presence of Cole-Davidson (CD) diffusion wherein we accomplish: 1) detecting the CD diffusion component; 2) discriminating the diffusion from the remaining dynamics; and 3) modeling the CD diffusion through a fractional-order model, in particular, a pole of fractional-order multiplicity.

Original languageEnglish
Pages (from-to)301-310
Number of pages10
JournalIEEE Transactions on Instrumentation and Measurement
Volume69
Issue number1
DOIs
Publication statusPublished - Jan 2020

    Research areas

  • Mathematical model, Noise measurement, Biomedical measurement, Biological system modeling, Actuators, Linear systems, Transient analysis, Cole-Davidson (CD), dynamical systems, fractional dynamics, impedance and dielectric spectroscopy, parametric modeling, system identification

ID: 51457192