Talks & Events & Conferences

Tensor-Galerkin POD for Efficient Uncertainty Quantification in PDEs with Multivariate Random Parameters

Abstract The statistically sound treatment of modelled uncertainties in simulations comes with significant additional computational costs. Since a deterministic model can already be arbitrarily complex, running statistics for general problems may soon become infeasible unless some kind of model reduction is involved.

Space and Chaos-Expansion Galerkin POD for UQ of PDEs with Random Parameters

Control of a Triple Pendulum in Theory and Practice

Design of linear controllers and practical realization for the triple pendulum.

The DEAL - What is up and what does it mean

Mathematical modeling of infectious disease

Abstract Within the last couple of months, the COVID-19 epidemic has determined our public and private life with travel restrictions, lockdown, social distancing, working from home, hygiene rules etc. The daily news informed about reproduction rates and the numbers of current confirmed COVID-19 cases.

Equivalence of Riccati-Based Robust Controller Design for Index-1 Descriptor Systems and Standard Plants with Feedthrough

The equivalence of Riccati approaches for index-1 descriptor systems and standard LTI systems with feedthrough.

Turnpike and Linear Systems Theory

How turnpike for LQR problems follow from classical system theoretic results and how it looks like for DAE constraints.

A benchmark for fluid rigid body interaction with standard CFD packages

A fluid rigid body benchmark case in a fixed domain

Talk: Stability Analysis of Time Stepping Schemes for Incompressible Flows from a DAE Perspective

By analysing the Kronecker index of the difference-algebraic equations, that represent commonly and successfully used time stepping schemes for the Navier-Stokes equations, we show that those time-integration schemes factually remove strangeness. The …

Tensor-space Galerkin POD for parametric flow equations

POD is a common and popular approach for order reduction of nonlinear models. Recently, we have extended the standard POD formulation such that the temporal dimension can be reduced by the same principles. In this talk, we illustrate how the …