Interpolated Modeling of LPV Systems

This paper presents a new state-space model interpolation of local estimates technique to compute linear parameter-varying (LPV) models for parameter-dependent systems using a set of linear time-invariant models obtained for fixed operating conditions. The technique is based on observability and con...

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Bibliographic Details
Published in:IEEE transactions on control systems technology Vol. 22; no. 6; pp. 2232 - 2246
Main Authors: De Caigny, Jan, Pintelon, Rik, Camino, Juan F., Swevers, Jan
Format: Journal Article
Language:English
Published: New York IEEE 01-11-2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:This paper presents a new state-space model interpolation of local estimates technique to compute linear parameter-varying (LPV) models for parameter-dependent systems using a set of linear time-invariant models obtained for fixed operating conditions. The technique is based on observability and controllability properties and has three strong appeals, compared with the state of the art in the literature. First, it works for continuous-time as well as discrete-time multiple-input multiple-output systems depending on multiple scheduling parameters. Second, the technique is automatic to some extent, in the sense that, after the model selection, no user interaction is required at the different steps of the method. Third, the resulting interpolating LPV model is numerically well-conditioned such that it can be used for modern LPV control design. Moreover, the proposed technique guarantees that the local models have a coherent state-space representation encompassing existing results as a particular case. The benefits of the approach are demonstrated on a simulation example and on an experimental data set obtained from a vibroacoustic setup.
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ISSN:1063-6536
1558-0865
DOI:10.1109/TCST.2014.2300510