Einladung zum Vortrag im Kolloquium Technische Kybernetik
Optimal control and particle filtering
for nonlinear descriptor systems
Johan Sjöberg, M.Sc.
Department of Electrical Engineering
Linköping University, Linköping, Sweden
Zeit: Dienstag · 7. 11. 2006 · 16:00 Uhr
Ort: IST-Seminarraum 3.241 · Pfaffenwaldring 9 · Campus Stuttgart-Vaihingen
In this talk, optimal feedback control and particle filtering for nonlinear descriptor systems will be discussed. The main motivation for studying
this class of models is the growing use of object-oriented modeling tools, often yielding descriptions in this form.
Optimal feedback control is normally computed by solving the Hamilton-Jacobi-Bellman equation. A problem when computing the optimal feedback law
using this equation is that it involves solving a nonlinear partial differential equation, which often cannot be solved explicitly. However, Lukes
etc. showed that for nonlinear state-space systems, it can still be possible to find a local optimal solution, expressed as power series expansions.
We will show that this method can be extended to handle also rather general descriptor systems.
Particle filtering for estimating the state of nonlinear state-space systems has got a lot of attention recently. This talk will be concluded with a
discussion about how particle filtering can be extended to also handle nonlinear descriptor systems.
Johan Sjöberg is a PhD student from Linköpings universitet, where he has been since 2003. He got his Master of Science in Applied Physics and
Electrical Engineering in 2003, and in 2006 he received his Licenciate of Engineering degree in Automatic Control. Sjöberg's research interests
mostly include various topics of differential-algebraic equations such as optimal feedback control and particle filtering.