Deterministic identification of dynamical systems
Author(s)
Bibliographic Information
Deterministic identification of dynamical systems
（Lecture notes in control and information sciences, 127）
Springer-Verlag, c1989
- : gw
- : us
Available at / 42 libraries
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Hokkaido University, Faculty and Graduate School of Engineering図書
: gwDC19:629.8/L4973570207126
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Note
Bibliography: p. [285]-288
Includes indexes
Description and Table of Contents
Description
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.
Table of Contents
Deterministic modelling.- Exact modelling.- Model approximation.- Approximate modelling.- Conclusions.
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