A Review of Proper Modeling Techniques
| Autor: | Ersal, T., Fathy, H. K., Louca, Loucas S., Rideout, D. G., Stein, J. L. |
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| Přispěvatelé: | Louca, Loucas S. [0000-0002-0850-2369] |
| Rok vydání: | 2007 |
| Předmět: |
Modeling techniques
Proper modeling Computer science Model accuracies Control system analysis Control theory Dynamical systems Simplicity Resource allocation Projection (set theory) Instrumentation media_common Mathematical models Dynamic system model Ketones Computer simulation Computer Science Applications Computational complexity Traction (friction) Applications Energy based Metric (mathematics) Complex models Model partitioning Model deduction Algorithm Simulation speeds Algorithms Information Systems Optimization media_common.quotation_subject Model simplification Modeling methods Dynamical system Dynamic system models Hardware-in-the-loop simulations Model structures Proper models Control systems System analysis and designs Model reduction Mechanical Engineering Hardware-in-the-loop simulation System optimization As systems Control engineering Fischer-Tropsch synthesis Control and Systems Engineering Control system Model complexities |
| Zdroj: | ASME International Mechanical Engineering Congress and Exposition, Proceedings Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME |
| DOI: | 10.1115/imece2007-42031 |
| Popis: | 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. 130 610081 6100813 0610081-06100813 |
| Databáze: | OpenAIRE |
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