activity
20152024
most citedRecursive feasibility of continuous-time model predictive control without stabilising constraints

28 citations · 85 across the 14 of their papers we have counts for

collaborators

16 papers

math.OC2024★ 1 cited

Nonlinear controlled port-Hamiltonian systems: Existence of (optimal) solutions

Willem Esterhuizen, Bernhard Maschke, Till Preuster +2

We investigate the existence of solutions of reversible and irreversible port-Hamilto\-nian systems. To this end, we utilize the associated exergy, a function that is composed of t…

math.OC2024

MPC without Terminal Ingredients Tailored to the SEIR Compartmental Epidemic Model

Willem Esterhuizen, Philipp Sauerteig, Stefan Streif +1

We consider the SEIR compartmental epidemic model subject to state and input constraints (a cap on the proportion of infectious individuals and limits on the allowed social distanc…

math.OC2023

Globally convergent homotopies for discrete-time optimal control

Willem Esterhuizen, Kathrin Flaßkamp, Matthias Hoffmann +1

Homotopy methods are attractive due to their capability of solving difficult optimisation and optimal control problems. The underlying idea is to construct a homotopy, which may be…

math.OC2022★ 1 cited

Path Planning for Concentric Tube Robots: a Toolchain with Application to Stereotactic Neurosurgery

Matthias K. Hoffmann, Willem Esterhuizen, Karl Worthmann +1

We present a toolchain for solving path planning problems for concentric tube robots through obstacle fields. First, ellipsoidal sets representing the target area and obstacles are…

eess.SY2022

Critical Clearing Time Estimates of Power Grid Faults via a Set-Based Method

Willem Esterhuizen, Gyula Molnár, Tim Aschenbruck +3

This paper is concerned with estimating critical clearing times in the transient stability problem of power grids without extensive time-domain simulations. We consider a highdimen…

math.OC2021

Model Predictive Control Tailored to Epidemic Models

Philipp Sauerteig, Willem Esterhuizen, Mitsuru Wilson +3

We propose a model predictive control (MPC) approach for minimising the social distancing and quarantine measures during a pandemic while maintaining a hard infection cap. To this…