Open AccessIdentification of continuous‐time switched linear systems from low‐rate sampled data
Author(s) -
KeshvariKhor Hadi,
Karimpour Ali,
Pariz Naser
Publication year - 2018
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2017.0555
Subject(s) - control theory (sociology) , sampling (signal processing) , identification (biology) , sampling time , sampled data systems , computer science , linear system , switching frequency , mathematics , engineering , control system , statistics , voltage , control (management) , telecommunications , artificial intelligence , mathematical analysis , botany , detector , electrical engineering , biology
This study is about the identification problem of continuous‐time switched linear systems from low‐rate sampled data. The main problem in the identification of such systems, when the sampling rate is low, is that the sampling instances do not coincide with the switching times. Therefore, some of the measured samples are generated from more than one subsystem. This problem was first observed during the sampling of a step‐up DC–DC converter at the rate of 100 kHz. The current study aims to explain the theoretical aspects of the identification problem of continuous‐time switched linear systems, and to offer a new method for estimating of subsystem parameters plus the switching times. The proposed method accurately determines the switching times which might be between two consecutive sampling instances. The results obtained from the proposed method are used to determine the switching times and parameters of an experimental DC–DC boost converter.