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Modellgestutzte Und Evolutionare Optimierungsverfahren Fur Die Motorentwicklung

Modellgestutzte Und Evolutionare Optimierungsverfahren Fur Die Motorentwicklung

          
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About the Book

In dieser Arbeit werden Algorithmen fur die Modellierung und Optimierung komplexer Systeme vorgestellt und entwickelt, die fur den praktischen Einsatz ausgelegt sind. Als Beispielanwendung dient dafur die Kalibrierung moderner Verbrennungsmotoren, die viele Herausforderungen an die Informatik stellt. Wir beginnen mit einer Darstellung von Techniken fur die Modellierung nichtlinearer Systeme, die nur verrauschte Beobachtungen zulassen. Es werden linear parametrierte Regressionsmodelle und nichtlineare Modelle, insbesondere Neuronale Netze, vorgestellt. Dabei werden verschiedene Aspekte wie Training, Regularisierung, Fehlerabschatzung, Active Learning und Bayes'sche Methoden betrachtet. Ferner wird ein neuer Modelltyp entwickelt, das LLR-Modell. Es bietet die Moglichkeit, Polynommodelle niedrigen Grades mit einer hoheren Flexitilitat auszustatten, ohne dass Oszillationen oder numerische Probleme auftreten. Die Modellierung bildet die Grundlage fur die Entwicklung eines modellbasierten Optimierungsalgorithmus, einen wichtigen Schwerpunkt der Arbeit. Der mbminimize-Algorithmus ist in der Lage, nichtlineare verrauschte Funktionen robust und mit wenig Funktionsauswertungen zu optimieren. Dadurch ist er fur den Einsatz als Online-Optimierungsalgorithmus direkt am Motorprufstand geeignet. Ein weiteres Thema ist die Evolutionare Optimierung. Es wird ein Selbstadaptionsmechanismus fur Evolutionsstrategien vorgestellt, die Hauptvektoradaption, die von der Kovarianzmatrixadaption abgeleitet ist, jedoch nur linearem Zeit- und Speicherplatzbedarf hat. Weiterhin werden Genetische Algorithmen fur kombinatorische Optimierungsprobleme am Beispiel von statistischer Versuchsplanung und Kennfeldglattung betrachtet. Insbesondere die Verwendung d-dimensionaler Chromosomen wird untersucht. Das Problem der Kennfeldglattung wird schliesslich komplexitatstheoretisch analysiert. Alle Algorithmen dieser Arbeit werden auf einer allgemeinen Ebene entwickelt und sind daher auch fur andere Anwendungen geeignet. Es wird versucht, in jeder Diskussionen sowohl theoretische Aspekte als auch praktische Fragestellungen aufzunehmen und miteinander zu verknupfen.


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Product Details
  • ISBN-13: 9783832500153
  • Publisher: Logos Verlag Berlin
  • Binding: Paperback
  • Language: German
  • Returnable: N
  • Spine Width: 0 mm
  • Width: 145 mm
  • ISBN-10: 3832500154
  • Publisher Date: 10 Sep 2002
  • Height: 210 mm
  • No of Pages: 146
  • Series Title: German
  • Weight: 700 gr


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