Identification of lifted models for general dual-rate sampled-data systems based on input-output data

Authors:
Pan Qin;Shunshoku Kanae;Zi-Jiang Yang;Kiyoshi Wada;Lijuan Jia
Affiliations:
Kyushu University;Kyushu University;Kyushu University;Kyushu University;Beijing Institute of Technology
Venue:
AsiaMS '07 Proceedings of the IASTED Asian Conference on Modelling and Simulation
Year:
2007

Citing 3
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System identification: theory for the user

System identification: theory for the user
N4SID: subspace algorithms for the identification of combined deterministic-stochastic systems

Automatica (Journal of IFAC) - Special issue on statistical signal processing and control
Optimal Sampled-Data Control Systems

Optimal Sampled-Data Control Systems

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Abstract

In this paper, we consider the identification problem for a dual-rate system in which the input sampling period may differ from that of the output. Based on the lifting operators, a lifted system which is equivalent to the original dual-rate system can be derived so that a lifted state-space model can be obtained which maps the relations between the dual-rate input-output data. Then the numerical subspace state-space identification (N4SID) algorithm is modified and used to identify the lifted state-space model, taking the causality constraints of the lifted system into account. Finally, numerical studies are included to show the excellent numerical performance of the proposed algorithm.