JModelica

JModelica

JModelica is an open source platform for modelling and simulation of large-scale dynamic systems using the Modelica modeling language. It facilitates collaborative model-based design. It is aimed at models involving both differential, algebraic, and discrete equations.
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modelica modeling simulation dynamic-systems differential-equations algebraic-equations discrete-equations open-source

JModelica: Open Source Platform for Large-Scale System Simulation

Collaborative model-based design and open source platform for modelling and simulation of dynamic systems using the Modelica language, including differential, algebraic, and discrete equations.

What is JModelica?

JModelica is an open source platform for dynamic simulation of complex systems, optimizations, and analyses using the Modelica modeling language. It provides an efficient open environment for modeling and simulation needs within various industries including automotive, energy, aerospace, robotics, etc.

Some key features of JModelica include:

  • Support for large Modelica models involving differential, algebraic and discrete equations
  • Interfaces to Python and MATLAB for scripting and post-processing
  • Optimizations of dynamic systems using gradient and surrogate models
  • Robust symbolic algorithms for efficient model compilation and transformation
  • Model calibration using measured data
  • Linearization for control system design and analysis
  • Distributed simulation of large-scale models

The JModelica platform is built using open source components and Modelica libraries making it very flexible. It uses compilers and runtime systems compliant with the Modelica language standard for efficient symbolic processing and model execution. The platform emphasizes collaborative and integrated model-based design by supporting import/export with various tools.

In summary, JModelica facilitates flexible and efficient modeling, simulation, optimization and analysis of complex dynamic systems. Its openness and Python/MATLAB integration make it suitable for scripting and testing ideas quickly during model-based design processes.

JModelica Features

Features

  1. Modeling and simulation of dynamic systems
  2. Support for Modelica modeling language
  3. Optimization and symbolic algorithms
  4. Model export to FMI and Modelica
  5. Integration with Python and Jupyter notebooks
  6. Open source and cross-platform

Pricing

  • Open Source

Pros

Free and open source

Support for large and complex models

Fast simulation of hybrid systems

Seamless Python integration

Active development community

Cons

Limited documentation and examples

Steep learning curve for Modelica

Lacks some advanced simulation features

Not as user friendly as commercial tools


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