dc.contributor.author | Ersal, T. | en |
dc.contributor.author | Fathy, H. K. | en |
dc.contributor.author | Rideout, D. G. | en |
dc.contributor.author | Louca, Loucas S. | en |
dc.contributor.author | Stein, J. L. | en |
dc.creator | Ersal, T. | en |
dc.creator | Fathy, H. K. | en |
dc.creator | Rideout, D. G. | en |
dc.creator | Louca, Loucas S. | en |
dc.creator | Stein, J. L. | en |
dc.date.accessioned | 2019-05-06T12:23:32Z | |
dc.date.available | 2019-05-06T12:23:32Z | |
dc.date.issued | 2008 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/48321 | |
dc.description.abstract | A dynamic system model is proper for a particular application if it achieves the accuracy required by the application with minimal complexity. Because model complexity often-but not always-correlates inversely with simulation speed, a proper model is often alternatively defined as one balancing accuracy and speed. Such balancing is crucial for applications requiring both model accuracy and speed, such as system optimization and hardware-in-the-loop simulation. Furthermore, the simplicity of proper models conduces to control system analysis and design, particularly given the ease with which lower-order controllers can be implemented compared to higher-order ones. The literature presents many algorithms for deducing proper models from simpler ones or reducing complex models until they become proper. This paper presents a broad survey of the proper modeling literature. To simplify the presentation, the algorithms are classified into frequency, projection, optimization, and energy based, based on the metrics they use for obtaining proper models. The basic mechanics, properties, advantages, and limitations of the methods are discussed, along with the relationships between different techniques, with the intention of helping the modeler to identify the most suitable proper modeling method for a given application. Copyright © 2008 by ASME. | en |
dc.language.iso | eng | en |
dc.source | Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME | en |
dc.subject | Model structures | en |
dc.subject | Optimization | en |
dc.subject | Control theory | en |
dc.subject | Control systems | en |
dc.subject | Control system analysis | en |
dc.subject | Ketones | en |
dc.subject | Model deduction | en |
dc.subject | Model partitioning | en |
dc.subject | Model reduction | en |
dc.subject | Model simplification | en |
dc.subject | Proper modeling | en |
dc.subject | Applications | en |
dc.subject | As systems | en |
dc.subject | Complex models | en |
dc.subject | Dynamic system models | en |
dc.subject | Fischer-Tropsch synthesis | en |
dc.subject | Hardware-in-the-loop simulations | en |
dc.subject | Model accuracies | en |
dc.subject | Model complexities | en |
dc.subject | Modeling methods | en |
dc.subject | Modeling techniques | en |
dc.subject | Proper models | en |
dc.subject | Simulation speeds | en |
dc.subject | System analysis and designs | en |
dc.title | A review of proper modeling techniques | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1115/1.2977484 | |
dc.description.volume | 130 | |
dc.description.startingpage | 610081 | |
dc.description.endingpage | 6100813 | |
dc.author.faculty | Πολυτεχνική Σχολή / Faculty of Engineering | |
dc.author.department | Τμήμα Μηχανικών Μηχανολογίας και Κατασκευαστικής / Department of Mechanical and Manufacturing Engineering | |
dc.type.uhtype | Article | en |
dc.contributor.orcid | Louca, Loucas S. [0000-0002-0850-2369] | |
dc.description.totalnumpages | 0610081-06100813 | |
dc.gnosis.orcid | 0000-0002-0850-2369 | |