Continuous-time subspace system identification method

Whan Sung Su Whan Sung, Young Lee Seong Young Lee, Jin Kwak Hee Jin Kwak, Lee In-Beum Lee

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16 Scopus citations

Abstract

We analyze practical problems of discrete-time subspace system identification methods from the control point of view and develop a new continuous-time subspace system identification method. We use a new transform to obtain the derivative information numerically from the measured process output and the process input. Using the transform, we convert the continuous-time process model composed of differential equations into corresponding algebraic equations. We estimate the process order by inspecting singular values, and subsequently, we determine the continuous-time state space model using the least-squares method. We compare the proposed method with the discrete-time subspace system identification method for a small sampling period.

Original languageEnglish
Pages (from-to)2886-2896
Number of pages11
JournalIndustrial and Engineering Chemistry Research
Volume40
Issue number13
DOIs
StatePublished - 27 Jun 2001

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