Introduction to Physical Modeling with Modelica
By M. Tiller. 2001
643 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/9c78d54a510a5bcde7327b09f2e0654d08a826c3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Volker Mehrmann
- Heinrich Voss
- Dimitrios Rovas
- P. Arun Raj Kumar
- K. Åström
- Pratibhamoy Das
- Kathrin Schreiber
- Anthony T. Patera
In Control and Systems Engineering
- P. Arun Raj Kumar
- Heinrich Voss
- Volker Mehrmann
- Elias B. Kosmatopoulos
- K. Åström
- Marek Miskowicz
- M. Lemmon
- Serdar Ethem Hamamci
Citations in the corpus
- A roadmap towards intelligent net zero- and positive-energy buildings (2011, background): “Open and noncommercial modeling languages for the description of physical systems, like Modelica, can also be used for building simulation (Fritzson, 2004; Tiller, 2001; Haase et al., 2006).”
- Control: A perspective (2014, background): “Differential algebra is a natural framework for modeling physical systems, and it is the mathematical framework behind the modeling language Modelica [643].”
- Feedback Systems: An Introduction for Scientists and Engineers (2008, neutral): “For readers interested in learning more about object oriented modeling and Modelica, Tiller [184] provides an excellent introduction.”
- Nonlinear eigenvalue problems: a challenge for modern eigenvalue methods (2004, background): “Singular problems, however, arise frequently in practice, when automatic modeling leads to overdetermined systems with redundant equations, [22, 65, 98].”
- Nonlinear System Identification: A User-Oriented Road Map (2019, neutral): “[21] for modeling systems contain DAE solvers.”