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Nonlinear model identification for Artemia population motion
Authors:Mofeed Turky Rashid  Mattia Frasca  Abduladhem Abdulkareem Ali  Ramzy Salim Ali  Luigi Fortuna  Maria Gabriella Xibilia
Affiliation:1. Electrical Engineering Department, University of Basrah, Basrah, Iraq
2. Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Universit??a degli Studi di Catania, Catania, Italy
3. DiSIA, Facolt?? di Ingegneria, Universit?? degli Studi di Messina, Messina, Italy
Abstract:In this paper, two different nonlinear models for Artemia swarming are derived. In order to generate the data suitable for identification, a robot driving the Artemia population has been built. The obtained data have been then used to identify the parameters of a model based on Newton??s equations and a black-box NARX model implemented by neural networks. The performances obtained validate the physical hypotheses underlying the gray-box model.
Keywords:
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