Search Results for author: Lukas Schwenkel

Found 4 papers, 0 papers with code

Robust peak-to-peak gain analysis using integral quadratic constraints

no code implementations17 Nov 2022 Lukas Schwenkel, Johannes Köhler, Matthias A. Müller, Frank Allgöwer

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).

Linearly discounted economic MPC without terminal conditions for periodic optimal operation

no code implementations6 May 2022 Lukas Schwenkel, Alexander Hadorn, Matthias A. Müller, Frank Allgöwer

Under standard dissipativity and controllability assumptions, we can prove that the resulting linearly discounted economic MPC without terminal conditions achieves optimal asymptotic average performance up to an error that vanishes with growing prediction horizons.

Model Predictive Control

Transient Performance of Tube-based Robust Economic Model Predictive Control

no code implementations18 Feb 2021 Christian Klöppelt, Lukas Schwenkel, Frank Allgöwer, Matthias A. Müller

In this paper, we provide non-averaged and transient performance guarantees for recently developed, tube-based robust economic model predictive control (MPC) schemes.

Model Predictive Control

Robust and optimal predictive control of the COVID-19 outbreak

no code implementations7 May 2020 Johannes Köhler, Lukas Schwenkel, Anne Koch, Julian Berberich, Patricia Pauli, Frank Allgöwer

Our theoretical findings support various recent studies by showing that 1) adaptive feedback strategies are required to reliably contain the COVID-19 outbreak, 2) well-designed policies can significantly reduce the number of fatalities compared to simpler ones while keeping the amount of social distancing measures on the same level, and 3) imposing stronger social distancing measures early on is more effective and cheaper in the long run than opening up too soon and restoring stricter measures at a later time.

Model Predictive Control

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