Indirect Continuous-Time LPV System Identification Through a Downsampled Subspace Approach

Paulo Lopes dos Santos; Teresa Paula Azevedo Perdicoulis; Jose A. Ramos; Jorge L. Martins de Carvalho

doi:10.1142/9789814355452_0009

Indirect Continuous-Time LPV System Identification Through a Downsampled Subspace Approach

Paulo Lopes dos Santos
, Teresa Paula Azevedo Perdicoulis
, Jose A. Ramos
, Jorge L. Martins de Carvalho

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Abstract

The successive approximation Linear Parameter Varying systems subspace identification algorithm for discrete-time systems is based on a convergent sequence of linear time invariant deterministic-stochastic state-space approximations. In this chapter, this method is modified to cope with continuous-time LPV state-space models. To do this, the LPV system is discretised, the discrete-time model is identified by the successive approximations algorithm and then converted to a continuous-time model. Since affine dependence is preserved only for fast sampling, a subspace downsampling approach is used to estimate the linear time invariant deterministic-stochastic state-space approximations. A second order simulation example, with complex poles, illustrates the effectiveness of the new algorithm.

Original language	American English
Title of host publication	Linear Parameter-Varying System Identification, New Developments and Trends (Advanced Series in Electrical and Computer Engineering)
DOIs	https://doi.org/10.1142/9789814355452_0009
State	Published - Jan 1 2011

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Computer Sciences

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Lopes dos Santos, P., Azevedo Perdicoulis, T. P., Ramos, J. A., & Martins de Carvalho, J. L. (2011). Indirect Continuous-Time LPV System Identification Through a Downsampled Subspace Approach. In Linear Parameter-Varying System Identification, New Developments and Trends (Advanced Series in Electrical and Computer Engineering) https://doi.org/10.1142/9789814355452_0009

Indirect Continuous-Time LPV System Identification Through a Downsampled Subspace Approach. / Lopes dos Santos, Paulo; Azevedo Perdicoulis, Teresa Paula; Ramos, Jose A. et al.
Linear Parameter-Varying System Identification, New Developments and Trends (Advanced Series in Electrical and Computer Engineering). 2011.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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ER -

Indirect Continuous-Time LPV System Identification Through a Downsampled Subspace Approach

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