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Software Tool for Acausal Physical Modelling and Simulation

1
Department of Computer Science and Numerical Analysis, University of Cordoba, Campus Rabanales, 14071 Cordoba, Spain
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Department of Mechanical Engineering, University of Cordoba, Campus Rabanales, 14071 Cordoba, Spain
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Author to whom correspondence should be addressed.
Symmetry 2019, 11(10), 1199; https://doi.org/10.3390/sym11101199
Received: 8 August 2019 / Revised: 13 September 2019 / Accepted: 17 September 2019 / Published: 24 September 2019
Modelling and simulation are key tools for analysis and design of systems and processes from almost any scientific or engineering discipline. Models of complex systems are typically built on acausal Differential-Algebraic Equations (DAE) and discrete events using Object-Oriented Modelling (OOM) languages, and some of their key concepts can be explained as symmetries. To obtain a computer executable version from the original model, several algorithms, based on bipartite symmetric graphs, must be applied for automatic equation generation, removing alias equations, computational causality assignment, equation sorting, discrete-event processing or index reduction. In this paper, an open source tool according to OOM paradigm and developed in MATLAB is introduced. It implements such algorithms adding an educational perspective about how they work, since the step by step results obtained after processing the model equations can be shown. The tool also allows to create models using its own OOM language and to simulate the final executable equation set. It was used by students in a modelling and simulation course of the Automatic Control and Industrial Electronics Engineering degree, showing a significant improvement in their understanding and learning of the abovementioned topics after their assessment. View Full-Text
Keywords: Object-Oriented Modelling; complex and hybrid systems; software tool; simulation Object-Oriented Modelling; complex and hybrid systems; software tool; simulation
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MDPI and ACS Style

Jimenez, J.; Belmonte, A.; Garrido, J.; Ruz, M.L.; Vazquez, F. Software Tool for Acausal Physical Modelling and Simulation. Symmetry 2019, 11, 1199.

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