Visiting Professor
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| In my research, I consider control systems and how they can be realized in numerical simulations. Particularly, I’m interested in infinite dimensional and differential-algebraic systems like the incompressible Navier-Stokes equation. In view of numerical implementations, I also investigate model reduction techniques for control systems. | |||||
Jan Heiland is a researcher and team leader at the Max Planck Institute for dynamics of complex technical systems in Magdeburg, Germany. He has gathered two years of practical experience in the private sector dealing with high-speed trains like the Talgo. Also, he has teaching duties at the University of Magdeburg. During February and March 2020 he collaborated as Visiting Professor at the ERC Advanced Grant project DyCon with Prof. Enrique Zuazua (FAU, University of Deusto and Universidad Autónoma de Madrid).
In my research, I consider control systems and how they can be realized in numerical simulations. Particularly, I’m interested in infinite dimensional and differential-algebraic systems like the incompressible Navier-Stokes equation. In view of numerical implementations, I also investigate model reduction techniques for control systems.
- PhD in applied mathematics ( 2010 – 2013 ). TU Berlin, Germany
- Master Degree in applied mathematics ( 2006-2009 ). TU Berlin, Germany
- Bachelor’s degree ( 2003 — 2005 ). TU Dresden, Germany
- Internship ( 2008 – 2010 ). Bombardier Transportation, Germany
Ph. D Thesis. Decoupling, Semi-Discretization, and Optimal Control of Semi-linear Semi-explicit Index-2 Abstract Differential-Algebraic Equations and Application in Optimal Flow Control
Master Thesis. Distributed Control of Linearized Navier-Stokes Equations via Discrete I/O Maps
Submitted
Classical system theory revisited for Turnpike in standard state space systems and impulse controllable descriptor systems
11.02.2020. Seminar: Robust Control of Incompressible Flows
