Abstract
In this Chapter we describe how the state space basis of models identified with subspace identification algorithms can be determined. It is shown that this basis is determined by the input spectrum and by user defined input and output weights (the weights introduced in the three main Theorems of the previous Chapters).
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© 1996 Kluwer Academic Publishers
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Van Overschee, P., De Moor, B. (1996). State Space Bases and Model Reduction. In: Subspace Identification for Linear Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0465-4_5
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DOI: https://doi.org/10.1007/978-1-4613-0465-4_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-8061-0
Online ISBN: 978-1-4613-0465-4
eBook Packages: Springer Book Archive