808 citations · 820 across the 5 of their papers we have counts for
8 papers
Robust Control of Constrained Linear Systems using Online Convex Optimization and a Reference Governor
Marko Nonhoff, Mohammad Taher Al Torshan, Matthias A. Müller
This article develops a control method for linear time-invariant systems subject to time-varying and a priori unknown cost functions, that satisfies state and input constraints, an…
Output-feedback model predictive control under dynamic uncertainties using integral quadratic constraints
Lukas Schwenkel, Johannes Köhler, Matthias A. Müller +1
In this work, we propose an output-feedback tube-based model predictive control (MPC) scheme for linear systems under dynamic uncertainties that are described via integral quadrati…
Online convex optimization for constrained control of nonlinear systems
Marko Nonhoff, Johannes Köhler, Matthias A. Müller
This paper proposes a modular approach that combines the online convex optimization framework and reference governors to solve a constrained control problem featuring time-varying…
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…
Data-driven online convex optimization for control of dynamical systems
Marko Nonhoff, Matthias A. Müller
We propose a data-driven online convex optimization algorithm for controlling dynamical systems. In particular, the control scheme makes use of an initially measured input-output 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…