In deterministic identification the identified system is determined
on the basis of a complexity measure of models and a misfit measure
of models with respect to data. The choice of these measures and
corresponding notions of optimality depend on the objectives of
modelling. In this monograph, the cases of exact modelling, model
reduction and approximate modelling are investigated. For the case
of exact modelling a procedure is presented which is inspired by
objectives of simplicity and corroboration. This procedure also
gives a new solution for the partial realization problem. Further,
appealing measures of complexity and distance for linear systems
are defined and explicit numerical expressions are derived. A
simple and new procedure for approximating a given system by one of
less complexity is described. Finally, procedures and algorithms
for deterministic time series analysis are presented. The
procedures and algorithms are illustrated by simple examples and by
numerical simulations.
General
| Imprint: |
Springer-Verlag
|
| Country of origin: |
Germany |
| Series: |
Lecture Notes in Control and Information Sciences, 127 |
| Release date: |
August 1989 |
| First published: |
1989 |
| Authors: |
Christiaan Heij
|
| Dimensions: |
244 x 170 x 16mm (L x W x T) |
| Format: |
Paperback
|
| Pages: |
295 |
| Edition: |
1989 ed. |
| ISBN-13: |
978-3-540-51323-0 |
| Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
| LSN: |
3-540-51323-X |
| Barcode: |
9783540513230 |
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