access icon free Identification of continuous-time switched linear systems from low-rate sampled data

© The Institution of Engineering and Technology
Received 16/06/2017, Accepted 08/05/2018, Revised 30/03/2018, Published 14/05/2018

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.

Inspec keywords: DC-DC power convertors; sampled data systems; linear systems; parameter estimation; continuous time systems

Other keywords: frequency 100.0 kHz; consecutive sampling instances; subsystem parameter estimation; continuous-time switched linear system identification; low-rate sampled data; sampling rate; switching times; step-up DC–DC boost converter

Subjects: Linear control systems; Discrete control systems; Power electronics, supply and supervisory circuits; Simulation, modelling and identification

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