Login

IFIP TC7 System Modeling and Optimization

Aug 12 – 16, 2024
Von-Melle-Park 8
Europe/Berlin timezone

Session

MS 02: Robust Optimization of hybrid / nonsmooth systems

Aug 15, 2024, 11:00 AM
Seminarraum 206 (Von-Melle-Park 8)

Seminarraum 206

Von-Melle-Park 8

Presentation materials

There are no materials yet.

  1. 20. A descent method for nonsmooth multiobjective optimization problems in Hilbert spaces
    Mr Konstantin Sonntag (Universität Paderborn)
    8/15/24, 11:00 AM
    MS 02: Robust Optimization of hybrid / nonsmooth systems
    Minisymposium Contribution

    This talk is dedicated to a common descent method designed for nonsmooth multiobjective optimization problems (MOPs) with objective functions defined on a general Hilbert space that are locally Lipschitz continuous. The only strategy to handle nonsmooth MOPs in infinite dimensions besides the presented method relies on scalarization techniques, which are not suitable for MOPs with nonconvex...

    Go to contribution page
  2. 17. Approximate propagation of normal distributions for stochastic optimal control of nonsmooth systems
    Florian Messerer (University of Freiburg, Germany)
    8/15/24, 11:30 AM
    MS 02: Robust Optimization of hybrid / nonsmooth systems
    Minisymposium Contribution

    We present a method for the approximate propagation of mean and covariance of a probability distribution through ordinary differential equations (ODE) with discontinuous right-hand side. For piecewise affine systems, a normalization of the propagated probability distribution at every time step allows us to analytically compute the expectation integrals of the mean and covariance dynamics while...

    Go to contribution page
  3. 15. Probability-Based Collision Risk Evaluation of Trajectories for Optimal Control Problems with Moving Obstacles
    Prof. Matthias Gerdts (Universität der Bundeswehr München)
    8/15/24, 12:00 PM
    MS 02: Robust Optimization of hybrid / nonsmooth systems
    Minisymposium Contribution

    We utilize the probability distributions of the future location of moving obstacles to aid in the maneuver planning of autonomous vehicles. The result is an objective function and necessary derivatives to solve optimal control problems in a multi-shooting scheme with shooting nodes on an equidistant time grid. We evaluate the proposed objective function in different scenarios featuring...

    Go to contribution page
  4. 35. Accelerating a Bike Without Pedaling – A Benchmark Problem for Nonsmooth Optimal Control?
    Julian Golembiewski (Institute of Energy Systems, Energy Efficiency and Energy Economics, TU Dortmund University)
    8/16/24, 9:00 AM
    MS 02: Robust Optimization of hybrid / nonsmooth systems
    Minisymposium Contribution

    In this talk, we propose a benchmark problem for numerical nonsmooth optimal control, tailored for systems with autonomous state jumps. In particular, these challenges are posed by mechanical systems with inherent nonsmoothness, characterized by abrupt jumps in both states and dynamics. Our proposed benchmark scenario involves accelerating a bicycle along an uneven mountain bike track without...

    Go to contribution page
  5. 42. IFDIFF - A Matlab Toolkit for ODEs with State˗Dependent Switches
    Andreas Sommer (IWR - Uni Heidelberg)
    8/16/24, 9:30 AM
    MS 02: Robust Optimization of hybrid / nonsmooth systems
    Minisymposium Contribution

    Several formulations for robustified optimization problems incorporate first-order derivatives of the original objective. In dynamic optimization settings, this usually involves the computation of sensitivities w.r.t. initial values and parameters of the underlying differential model.
    We present the toolkit IFDIFF [1] for integration and sensitivity generation in parameterized implicitly...

    Go to contribution page
  6. 50. Towards robust optimization of chromatographic separation processes with flow reversal
    Dominik H. Cebulla (Institute for Mathematical Optimization, Technische Universität Braunschweig)
    8/16/24, 10:00 AM
    MS 02: Robust Optimization of hybrid / nonsmooth systems
    Minisymposium Contribution

    Column liquid chromatography plays an important role in the downstream processing of biopharmaceuticals, where the goal is to capture and purify a target protein from a mixture. Our goal is to employ a model-based approach for process optimization to improve the quality of the product, while also achieving further economical and ecological benefits.

    Rate models in combination with suitable...

    Go to contribution page
Building timetable...