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dc.contributor.authorSendur, P.en
dc.contributor.authorStein, J. L.en
dc.contributor.authorPeng, H.en
dc.contributor.authorLouca, Loucas S.en
dc.creatorSendur, P.en
dc.creatorStein, J. L.en
dc.creatorPeng, H.en
dc.creatorLouca, Loucas S.en
dc.description.abstractDynamic models of physical systems with physically meaningful states and parameters have become increasingly important, for design, control and even procurement decisions. The successful use of models in these contexts requires that the models be of sufficient quality. However, while algorithms have been developed to help formulate and integrate physical system models, as well as to generate minimum complexity physical system models, algorithms to assess the "quality" of dynamic system models have not been produced. This is true even if the attributes of model are limited to accuracy and validity. The objective of this paper is to introduce a new methodology that systematically quantifies the accuracy of a predicted system response and determines the validity of the physical system model used to predict the system response. The accuracy and validity of the model are evaluated using statistical properties of measured system response. The new algorithm is called Accuracy & Validation Algorithm for Simulation (AVASIM), and is a time-domain perspective comparing the model's time trajectories at user-defined points of interest as well as over the entire simulation horizon. To illustrate AVASIM, the quality of a handling model of a DaimlerChrysler Grand Cherokee is compared to the measurements obtained from that vehicle subjected to known steering inputs. Results demonstrate that the accuracy and validity of the Grand Cherokee model can be systematically assessed using the proposed methodology, and, thus, AVASIM appears to be a powerful tool for assessing the quality of system models. Copyright © 2002 by ASME.en
dc.publisherAmerican Society of Mechanical Engineers (ASME)en
dc.sourceASME International Mechanical Engineering Congress and Exposition, Proceedingsen
dc.subjectComputer simulationen
dc.subjectDynamical systemsen
dc.subjectDynamic modelsen
dc.subjectSystem modelsen
dc.subjectMechanical engineeringen
dc.subjectAutomated modelingen
dc.subjectPhysical systemsen
dc.subjectModel accuracyen
dc.subjectModel qualityen
dc.subjectModel validityen
dc.subjectPhysical system modelsen
dc.subjectProper system modelsen
dc.titleA model accuracy and validation algorithmen
dc.description.endingpage583Πολυτεχνική Σχολή / Faculty of EngineeringΤμήμα Μηχανικών Μηχανολογίας και Κατασκευαστικής / Department of Mechanical and Manufacturing Engineering
dc.type.uhtypeConference Objecten
dc.contributor.orcidLouca, Loucas S. [0000-0002-0850-2369]

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