Dymola, Dynamic Modeling Laboratory, is a complete tool for modeling and simulation of integrated and complex systems for use within automotive, aerospace, robotics, process and other applications. The Dymola environment uses the open Modelica® modeling language which means that users are free to create their own model libraries or modify the ready made model libraries to better match users unique modeling and simulation needs. The flexibility of Dymola makes it a versatile tool which is perfect for modeling and simulation of new alternative designs and technologies.

References in zbMATH (referenced in 25 articles )

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  1. Ha, Phi; Mehrmann, Volker: Analysis and numerical solution of linear delay differential-algebraic equations (2016)
  2. Elsheikh, Atiyah: An equation-based algorithmic differentiation technique for differential algebraic equations (2015)
  3. Mehlhase, Alexandra: A Python framework to create and simulate models with variable structure in common simulation environments (2014)
  4. Kirches, Christian; Leyffer, Sven: TACO: a toolkit for AMPL control optimization (2013)
  5. De P.Soares, R.; Secchi, Argimiro R.: Structural analysis for static and dynamic models (2012)
  6. Ha, Phi; Mehrmann, Volker: Analysis and reformulation of linear delay differential-algebraic equations (2012)
  7. Ramírez-Arias, A.; Rodríguez, F.; Guzmán, J.L.; Berenguel, M.: Multiobjective hierarchical control architecture for greenhouse crop growth (2012)
  8. Dangl, F.; Neudorfer, Harald: Einfluss der umrichterbedingten zusatzverluste auf das thermische verhalten von asynchronmaschinen für traktionsantriebe (2011)
  9. Liscouët, Jonathan; Budinger, Marc; Maré, Jean-Charles; Orieux, Stéphane: Modelling approach for the simulation-based preliminary design of power transmissions (2011)
  10. Sielemann, M.; Schmitz, G.: A quantitative metric for robustness of nonlinear algebraic equation solvers (2011)
  11. Chen, Qiong-Zhong; Meng, Guang; Zeng, Shui-Sheng: On the algorithms of adaptive neural network-based speed control of switched reluctance machines (2010)
  12. Shah, Aditya A.; Kerzhner, Aleksandr A.; Schaefer, Dirk; Paredis, Christiaan J.J.: Multi-view modeling to support embedded systems engineering in SysML (2010)
  13. Xu, Wenfu; Liu, Yu; Liang, Bin; Wang, Xueqian; Xu, Yangsheng: Unified multi-domain modelling and simulation of space robot for capturing a moving target (2010)
  14. Elsheikh, Atya; Wiechert, Wolfgang: Automatic sensitivity analysis of DAE-systems generated from equation-based modeling languages (2008)
  15. Loo, Sin Ming; Wells, B.Earl: Task scheduling in a finite-resource, reconfigurable hardware/software codesign environment (2006)
  16. Schiavo, Francesco; Viganò, Luca; Ferretti, Gianni: Object-oriented modelling of flexible beams (2006)
  17. Pop, Adrian; Savga, Ilie; Aßmann, Uwe; Fritzson, Peter: Composition of XML dialects: A modelicaxml case study. (2005)
  18. Bortolin, Gianantonio; Borg, Stefan; Gutman, Per Olof: Modeling of the wet end part of a paper mill with Dymola (2004)
  19. Hardt, Michael; von Stryk, Oskar: Dynamic modeling in the simulation, optimization, and control of bipedal and quadrupedal robots (2003)
  20. Žlajpah, Leon: Integrated environment for modelling, simulation and control design for robotic manipulators (2001)

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