| [1] |
Peter J Gawthrop.
Physically-plausible models for identification.
In Proceedings of the 2003 International Conference On Bond
Graph Modeling and Simulation (ICBGM'03), Simulation Series, pages 59--64,
Orlando, Florida, U.S.A., January 2003. Society for Computer Simulation.
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Physically-plausible models are introduced as simple models which, although they do not pretend to be an accurate models of a particular physical systems, are themselves models of physical systems. A physiological and a thermo-mechanical system are used as examples.
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| [2] |
Liuping Wang, Peter J Gawthrop, Charlie Chessari, and Tony Podsiadly.
Continuous-time system identification of a food extruder: experiment
design and data analysis.
In Proceedings of the 13th IFAC Symposium on System
Identification (SYSID 2003), pages 629--634, Rotterdam, The Netherlands,
August 2003.
[ bib |
.pdf ]
The introduction of product quality self-regulation to food-cooking extrusion is an important aspect of process control within food manufacturing industries. In order to design an automatic control system for product quality, a mathematical model of the food extruder is required. As first-principles models are difficult to obtain in this context, a food extruder is a good candidate for applying system identification tools. This paper presents the application of continuous time system identification to such a food cooking extruder. More specifically, the reported application features an automated identification experiment apparatus designed using relay feedback control mechanisms and instrumented through existing real time supervisory system for the extruder. Experimental data from the food extruder are obtained and analysed using our identification approach.
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