4 papers
Robust peak-to-peak gain analysis using integral quadratic constraints
Lukas Schwenkel, Johannes Köhler, Matthias A. Müller +1
This work provides a framework to compute an upper bound on the robust peak-to-peak gain of discrete-time uncertain linear systems using integral quadratic constraints (IQCs). Such…
Robust and optimal predictive control of the COVID-19 outbreak
Johannes Köhler, Lukas Schwenkel, Anne Koch +3
We investigate adaptive strategies to robustly and optimally control the COVID-19 pandemic via social distancing measures based on the example of Germany. Our goal is to minimize t…
Robust Economic Model Predictive Control without Terminal Conditions
Lukas Schwenkel, Johannes Köhler, Matthias A. Müller +1
In this paper, a novel tube-based economic Model Predictive Control (MPC) scheme for uncertain systems that uses neither terminal costs nor terminal constraints is investigated. We…
Online learning with stability guarantees: A memory-based real-time model predictive controller
Lukas Schwenkel, Meriem Gharbi, Sebastian Trimpe +1
We propose and analyze a real-time model predictive control (MPC) scheme that utilizes stored data to improve its performance by learning the value function online with stability g…