Stephan GersterInstitut für Geometrie und Praktische Mathematik
phone:+49 241 80-94 559
TeachingMathematik I & II (für Bau-, Umwelt-, Wirtschafts-, Verkehrsingenieurwesen)
- Stochastic Galerkin Formulations for Hyperbolic Balance Laws Stochastic Galerkin methods reformulate a stochastic system as a deterministic one that describes the evolution of polynomial chaos modes. So far, results for general hyperbolic systems are not available. A problem is posed by the fact that the deterministic Jacobian of the projected system differs from the random Jacobian of the original system and hence hyperbolicity is not guaranteed. We show for some fluid-dynamic equations hyperbolicity, wellposedness and energy estimates.
- Feedback Control for Hyperbolic Systems Physical systems such as water and gas networks are usually operated in a state of equilibrium and feedback control is employed to damp small perturbations over time. We consider flow problems on networks, described by hyperbolic balance laws, and analyze their stability.
- Stochastic Fluctuations in Energy Networks The ability of gas-fired power plants to ramp quickly is used to balance fluctuations in the power grid caused by renewable energy sources, which in turn leads to time-varying gas consumption and fluctuations in the gas network. Since gas system operators assume nearly constant gas consumption, there is a need to assess the risk of these stochastic fluctuations. We discuss control policies to damp fluctuations in the network.
Stephan Gerster, Michael Herty, Entropies and Symmetrization of Hyperbolic Stochastic Galerkin Formulations, preprint, 2019
Stephan Gerster, Michael Herty, Aleksey Sikstel, Hyperbolic Stochastic Galerkin Formulation for the p-System, preprint, 2018
Stephan Gerster, Michael Herty, Discretized Feedback Control for Hyperbolic Balance Laws, preprint, 2017