Deterministic Identification Of Dynamical Systems
By Christiaan Heij
"Deterministic Identification Of Dynamical Systems" is published by Springer in 1989 - Berlin Heidelberg, it has 292 pages and the language of the book is English.
“Deterministic Identification Of Dynamical Systems” Metadata:
- Title: ➤ Deterministic Identification Of Dynamical Systems
- Author: Christiaan Heij
- Language: English
- Number of Pages: 292
- Publisher: Springer
- Publish Date: 1989
- Publish Location: Berlin Heidelberg
“Deterministic Identification Of Dynamical Systems” Subjects and Themes:
- Subjects: ➤ Engineering - Mathematical optimization - Engineering mathematics - Telecommunication - Systems theory - Time-series analysis - System identification - Differentiable dynamical systems - Rendszerelmélet - Matematika - Dinamikus rendszerek - Série chronologique - Identification des systèmes - Dynamique différentiable - Dynamisches System - Lineares dynamisches System - Systemidentifikation - Zeitreihenanalyse - Control theory - Systèmes, Identification des
Edition Identifiers:
- The Open Library ID: OL26069800M - OL17483362W
- Online Computer Library Center (OCLC) ID: 19980893
- Library of Congress Control Number (LCCN): 89011469
- ISBN-13: 9783540513230 - 9783540461968
- All ISBNs: 9783540513230 - 9783540461968
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"Deterministic Identification Of Dynamical Systems" Description:
Open Data:
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
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