Learning Dynamics and Control Using Remotely Tutored Simulation and Virtual Experiments

Authors

  • Herman Mann Czech technical University

DOI:

https://doi.org/10.3991/ijoe.v2i2.333

Abstract


The DynLAB project developed by an inter-national consortium aims at motivating young people to engineering study, and at improving engineering training using innovative didactic and technological approaches. The resulting web-based course is supported across the Internet by a software environment including a robust DYNAST simulation engine, publishing and monitoring tools, and a large collection of re-solvable examples including 3D virtual experiments. DYNAST solves nonlinear algebro-differential equations submitted in a textual form. For a system model submitted in a graphical form characterizing the system real configuration DYNAST formulates the underlying equations automatically. It is also capable of providing the system semisymbolic analysis in time- and frequency-domains. Besides this, DYNAST can be also used across the Internet as a modeling toolbox for the MATLAB control-design toolset.

Author Biography

Herman Mann, Czech technical University

Dipl.-Ing. Herman MANN, PhD., ScD. Associated Professor & Research Manager Czech Technical University in Prague Positions on leave from this Alma Mater: 1966-68 Lecturer, University of Khartoum, Sudan 1969-1971 Teaching Associate, Department of Systems Design, University of Waterloo, Canada 1991 Visiting Scientist, Department of Mechanical Engineering and Robotics Universite Libre de Bruxelles, Belgium 1992-1993 Visiting Professor, Production Engineering Machine Design and Automation Katholieke Universiteit Leuven, Belgium Current professional interests: Multidisciplinary engineering dynamics, modeling and simulation, e-learning, virtual experiments IEEE Life Member …

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Published

2006-04-30

How to Cite

Mann, H. (2006). Learning Dynamics and Control Using Remotely Tutored Simulation and Virtual Experiments. International Journal of Online and Biomedical Engineering (iJOE), 2(2). https://doi.org/10.3991/ijoe.v2i2.333

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Section

Papers