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Continuous-time subspace system identification method
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DOI：10.1021/ie000069f.png)
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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.
Keyword:
TRANSFER-FUNCTION MATRIX
RECURSIVE-IDENTIFICATION
ALGORITHMS
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期刊
I
IF:
3.9
论文数:
4.0W
被引数:
9.6W
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