Data-driven reduced bond graph for nonlinear multiphysics dynamic systems
DOI10.1016/J.AMC.2021.126359OpenAlexW3176431197MaRDI QIDQ2244143
David Ryckelynck, Youssef Hammadi, Amin El-Bakkali
Publication date: 11 November 2021
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2004.13971
differential algebraic equationsartificial neural networksbond graphsmodel order reductiondata-drivencabin thermal modeling
Artificial intelligence (68Txx) Numerical methods for ordinary differential equations (65Lxx) General theory for ordinary differential equations (34Axx) Controllability, observability, and system structure (93Bxx) General systems theory (93Axx)
Uses Software
Cites Work
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- Computation of Singular and Singularity Induced Bifurcation Points of Differential-Algebraic Power System Model
- Deriving simulation models from bond graphs with algebraic loops. The extension to multibond graph systems
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