Abstract
The problem of using indirect methods to identify a linear MIMO continuous-time model from sampled input–output records of a multivariable process is discussed. In the indirect identification methods, a discrete-time model is first found by any existing standard methods; next a continuous-time model as an equivalent to the discrete-time one is determined. Three algorithms, each employing state-conversion, moment-matching and frequency-response matching methods, are proposed to carry out the second step of the indirect identification methods. Numerical examples are included to illustrate the applicability of the proposed methods.
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