activity
20182020
collaborators

8 papers

nlin.AO2020

The food seeking behavior of slime mold: a macroscopic approach

Simone Göttlich, Stephen Knapp, Dylan Weber

Starting from a particle model we derive a macroscopic aggregation-diffusion equation for the evolution of slime mold under the assumption of propagation of chaos in the large part…

math.PR2019

Modeling random traffic accidents by conservation laws

Simone Göttlich, Stephan Knapp

We introduce a stochastic traffic flow model to describe random traffic accidents on a single road. The model is a piecewise deterministic process incorporating traffic accidents a…

math.OC2019

Uncertainty quantification with risk measures in production planning

Simone Göttlich, Stephan Knapp

This paper is concerned with a simulation study for a stochastic production network model, where the capacities of machines may change randomly. We introduce performance measures m…

math.OC2019

Feedback Stabilization for a coupled PDE-ODE Production System

Vanessa Baumgärtner, Simone Göttlich, Stephan Knapp

We consider an interlinked production model consisting of conservation laws (PDE) coupled to ordinary differential equations (ODE). Our focus is the analysis of control laws for th…

math.PR2019

Piecewise deterministic Markov processes driven by scalar conservation laws

Stephan Knapp

We investigate piecewise deterministic Markov processes (PDMP), where the deterministic dynamics follows a scalar conservation law and random jumps in the system are characterized…

math.PR2019

A Production Model with History Based Random Machine Failures

Stephan Knapp, Simone Göttlich

In this paper, we introduce a time-continuous production model that enables random machine failures, where the failure probability depends historically on the production itself. Th…