Abstract
In general there are two ways of arriving at models of physical processes:
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Physical principles modelling. Physical knowledge of the process, in the form of first principles, is employed to arrive at a model that will generally consist of a multitude of differential / partial differential / algebraic relations between physical quantities. The construction of a model is based on presumed knowledge about the physics that governs the process. The first principles relations concern, e.g., the laws of conservation of energy and mass and Newton’s law of movement.
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Experimental modelling, or system identification. Measurements of several variables of the process are taken and a model is constructed by identifying a model that matches the measured data as well as possible.
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Kulikov, G.G., Thompson, H.A. (2004). Linear System Identification. In: Kulikov, G.G., Thompson, H.A. (eds) Dynamic Modelling of Gas Turbines. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-3796-2_5
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DOI: https://doi.org/10.1007/978-1-4471-3796-2_5
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