System parameter identification in transport models using the fast Fourier transform (FFT)

✍ Scribed by Conrad Wall III; Harvey S. Borovetz; James J. Murphy; Robert L. Hardesty

• Publisher: Elsevier Science
• Year: 1981
• Tongue: English
• Weight: 706 KB
• Volume: 14
• Category: Article
• ISSN: 0010-4809
• DOI: 10.1016/0010-4809(81)90014-8

✦ Synopsis

The fast Fourier transform (FFT) was investigated for potential use in a new application: the system identification problem in physiological transport models. It was found to offer specific advantages when compared to another well-established transform technique, time segment transformation (TST), in which input stimuli are modeled as a time sequence of polynomial functions. The FFT reduced both computing time and core requirements by a factor of 2. The two methods produced virtually identical parameter estimates and the FFT was unaffected by truncation of input data. Proper use of the FFT requires some care, but the pitfalls are identified so that others can avoid them. The time required to develop a system identification program using the FFT is short compared to that of the TST due to the availability of FFT subroutines on most computer systems. The FFT approach can also be applied to a broad class of engineering system identification problems.