activity
20172020
most citedModeling of a diffusion with aggregation: rigorous derivation and numerical simulation

12 citations · 40 across the 9 of their papers we have counts for

collaborators

11 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★ 8 cited

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.NA2019★ 3 cited

Car Path Tracking in Traffic Flow Networks with Bounded Buffers at Junctions

Theresa Dambach, Simone Göttlich, Stephan Knapp

This article deals with the modeling for an individual car path through a road network, where the dynamics is driven by a coupled system of ordinary and partial differential equati…

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★ 6 cited

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…