Principles of object-oriented modeling and simulation with Modelica 2.1
By P. Fritzson. 2004
1,214 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/ff11e924b681886ca8811c0844a2098ff94bead0
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
- Alberto L. Sangiovanni-Vincentelli
- Kim Guldstrand Larsen
- Werner Damm
- Roberto Passerone
- J. Rossmann
- Ali Emadi
- Dimitrios Rovas
- Jean-Baptiste Raclet
In Management Science and Operations Research
- Alberto L. Sangiovanni-Vincentelli
- J. Rossmann
- Kim Guldstrand Larsen
- Werner Damm
- Jean-Baptiste Raclet
- Thomas A. Henzinger
- Roberto Passerone
- Albert Benveniste
Citations in the corpus
- Experimentable Digital Twins—Streamlining Simulation-Based Systems Engineering for Industry 4.0 (2018, methodology): “Discrete event simulation systems [7], equation-based/signal oriented approaches like MATLAB/Simulink [8], the declarative Modelica modeling language [9] and its tools, FEM-based simulation tools (e.”
- 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).”
- Taming Dr. Frankenstein: Contract-Based Design for Cyber-Physical Systems (2012, background): “ing, Catia and Modelica [18] for physical system modeling,”
- A General-Purpose Software Framework for Dynamic Optimization (Een algemene softwareomgeving voor dynamische optimalisatie) (2013, methodology): “For more details on this and their implementation in Modelica-based tools, we refer to Cellier and Kofman [59] or Fritzson [82].”
- Contracts for System Design (2018, methodology): “MBD-inspired design languages and tools include SysML [149] or AADL [152] for system level modeling, Modelica [93] for physical system modeling, Matlab-Simulink [118] for control-law design, and Scade [144], [32] and TargetLink for detailed software design.”
- Improved Performance of Serially Connected Li-Ion Batteries With Active Cell Balancing in Electric Vehicles (2011, methodology): “Dymola [29], [ 30 ], using the electrical energy storage library”
- Modeling and Simulation of Electric and Hybrid Vehicles (2007, background): “The following definitions are based on the text by Dr. P. Fritzson of the Linköping University, Sweden [16], and are related to HEV modeling.”
- Modeling and optimization with Optimica and JModelica.org - Languages and tools for solving large-scale dynamic optimization problems (2010, neutral): “For a comprehensive overview of Modelica, see[10].”