A Subspace Algorithm for Balanced State Space System Identi cation
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چکیده
In an earlier paper (Moonen et al. 1989), an algorithm has been introduced for identifying multivariable linear systems directly from input/output data. This new algorithm falls in the class of so-called subspace methods and resembles impulse response based realization algorithms. In this note we extend this algorithm by incorporating a balancing step, such that the identi ed model is always in balanced coordinates. With this modi cation, one obtains a data driven counterpart for Kung's realization algorithm.
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تاریخ انتشار 1993