Interactive System Identification: Prospects and Pitfalls:
The craft of designing mathematical models of dynamic objects offers a large number of methods to solve subproblems in the design, typically parameter estimation, order determination, validation, model reduc tion, analysis of identifiability, sensi tivi ty and accuracy. There is also a substantial...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1991
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Schriftenreihe: | Communications and Control Engineering Series
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Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | The craft of designing mathematical models of dynamic objects offers a large number of methods to solve subproblems in the design, typically parameter estimation, order determination, validation, model reduc tion, analysis of identifiability, sensi tivi ty and accuracy. There is also a substantial amount of process identification software available. A typi cal 'identification package' consists of program modules that implement selections of solution methods, coordinated by supervising programs, communication, and presentation handling file administration, operator of results. It is to be run 'interactively', typically on a designer's 'work station' . However, it is generally not obvious how to do that. Using interactive identification packages necessarily leaves to the user to decide on quite a number of specifications, including which model structure to use, which subproblems to be solved in each particular case, and in what or der. The designer is faced with the task of setting up cases on the work station, based on apriori knowledge about the actual physical object, the experiment conditions, and the purpose of the identification. In doing so, he/she will have to cope with two basic difficulties: 1) The com puter will be unable to solve most of the tentative identification cases, so the latter will first have to be form11lated in a way the computer can handle, and, worse, 2) even in cases where the computer can actually produce a model, the latter will not necessarily be valid for the intended purpose |
Beschreibung: | 1 Online-Ressource (XII, 365 p. 29 illus) |
ISBN: | 9783642486180 |
DOI: | 10.1007/978-3-642-48618-0 |
Internformat
MARC
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520 | |a The craft of designing mathematical models of dynamic objects offers a large number of methods to solve subproblems in the design, typically parameter estimation, order determination, validation, model reduc tion, analysis of identifiability, sensi tivi ty and accuracy. There is also a substantial amount of process identification software available. A typi cal 'identification package' consists of program modules that implement selections of solution methods, coordinated by supervising programs, communication, and presentation handling file administration, operator of results. It is to be run 'interactively', typically on a designer's 'work station' . However, it is generally not obvious how to do that. Using interactive identification packages necessarily leaves to the user to decide on quite a number of specifications, including which model structure to use, which subproblems to be solved in each particular case, and in what or der. The designer is faced with the task of setting up cases on the work station, based on apriori knowledge about the actual physical object, the experiment conditions, and the purpose of the identification. In doing so, he/she will have to cope with two basic difficulties: 1) The com puter will be unable to solve most of the tentative identification cases, so the latter will first have to be form11lated in a way the computer can handle, and, worse, 2) even in cases where the computer can actually produce a model, the latter will not necessarily be valid for the intended purpose | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Bohlin, Torsten 1931- |
author_GND | (DE-588)114680556X |
author_facet | Bohlin, Torsten 1931- |
author_role | aut |
author_sort | Bohlin, Torsten 1931- |
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building | Verbundindex |
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dewey-full | 620.00420285 |
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dewey-search | 620.00420285 |
dewey-sort | 3620.00420285 |
dewey-tens | 620 - Engineering and allied operations |
doi_str_mv | 10.1007/978-3-642-48618-0 |
format | Electronic eBook |
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id | DE-604.BV045186795 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:58Z |
institution | BVB |
isbn | 9783642486180 |
language | English |
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physical | 1 Online-Ressource (XII, 365 p. 29 illus) |
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publishDate | 1991 |
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publisher | Springer Berlin Heidelberg |
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series2 | Communications and Control Engineering Series |
spelling | Bohlin, Torsten 1931- Verfasser (DE-588)114680556X aut Interactive System Identification: Prospects and Pitfalls by Torsten Bohlin Berlin, Heidelberg Springer Berlin Heidelberg 1991 1 Online-Ressource (XII, 365 p. 29 illus) txt rdacontent c rdamedia cr rdacarrier Communications and Control Engineering Series The craft of designing mathematical models of dynamic objects offers a large number of methods to solve subproblems in the design, typically parameter estimation, order determination, validation, model reduc tion, analysis of identifiability, sensi tivi ty and accuracy. There is also a substantial amount of process identification software available. A typi cal 'identification package' consists of program modules that implement selections of solution methods, coordinated by supervising programs, communication, and presentation handling file administration, operator of results. It is to be run 'interactively', typically on a designer's 'work station' . However, it is generally not obvious how to do that. Using interactive identification packages necessarily leaves to the user to decide on quite a number of specifications, including which model structure to use, which subproblems to be solved in each particular case, and in what or der. The designer is faced with the task of setting up cases on the work station, based on apriori knowledge about the actual physical object, the experiment conditions, and the purpose of the identification. In doing so, he/she will have to cope with two basic difficulties: 1) The com puter will be unable to solve most of the tentative identification cases, so the latter will first have to be form11lated in a way the computer can handle, and, worse, 2) even in cases where the computer can actually produce a model, the latter will not necessarily be valid for the intended purpose Computer Science Computer-Aided Engineering (CAD, CAE) and Design Systems Theory, Control Calculus of Variations and Optimal Control; Optimization Appl.Mathematics/Computational Methods of Engineering Engineering Design Computer Hardware Computer science Computer hardware Computer-aided engineering System theory Calculus of variations Applied mathematics Engineering mathematics Engineering design Systemidentifikation (DE-588)4121753-6 gnd rswk-swf Systemidentifikation (DE-588)4121753-6 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9783642486203 https://doi.org/10.1007/978-3-642-48618-0 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Bohlin, Torsten 1931- Interactive System Identification: Prospects and Pitfalls Computer Science Computer-Aided Engineering (CAD, CAE) and Design Systems Theory, Control Calculus of Variations and Optimal Control; Optimization Appl.Mathematics/Computational Methods of Engineering Engineering Design Computer Hardware Computer science Computer hardware Computer-aided engineering System theory Calculus of variations Applied mathematics Engineering mathematics Engineering design Systemidentifikation (DE-588)4121753-6 gnd |
subject_GND | (DE-588)4121753-6 |
title | Interactive System Identification: Prospects and Pitfalls |
title_auth | Interactive System Identification: Prospects and Pitfalls |
title_exact_search | Interactive System Identification: Prospects and Pitfalls |
title_full | Interactive System Identification: Prospects and Pitfalls by Torsten Bohlin |
title_fullStr | Interactive System Identification: Prospects and Pitfalls by Torsten Bohlin |
title_full_unstemmed | Interactive System Identification: Prospects and Pitfalls by Torsten Bohlin |
title_short | Interactive System Identification: Prospects and Pitfalls |
title_sort | interactive system identification prospects and pitfalls |
topic | Computer Science Computer-Aided Engineering (CAD, CAE) and Design Systems Theory, Control Calculus of Variations and Optimal Control; Optimization Appl.Mathematics/Computational Methods of Engineering Engineering Design Computer Hardware Computer science Computer hardware Computer-aided engineering System theory Calculus of variations Applied mathematics Engineering mathematics Engineering design Systemidentifikation (DE-588)4121753-6 gnd |
topic_facet | Computer Science Computer-Aided Engineering (CAD, CAE) and Design Systems Theory, Control Calculus of Variations and Optimal Control; Optimization Appl.Mathematics/Computational Methods of Engineering Engineering Design Computer Hardware Computer science Computer hardware Computer-aided engineering System theory Calculus of variations Applied mathematics Engineering mathematics Engineering design Systemidentifikation |
url | https://doi.org/10.1007/978-3-642-48618-0 |
work_keys_str_mv | AT bohlintorsten interactivesystemidentificationprospectsandpitfalls |