25 citations · 92 across the 9 of their papers we have counts for
10 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…
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…
Online convex optimization for robust control of constrained dynamical systems
Marko Nonhoff, Emiliano Dall'Anese, Matthias A. Müller
This article investigates the problem of controlling linear time-invariant systems subject to time-varying and a priori unknown cost functions, state and input constraints, and exo…
Online convex optimization for constrained control of linear systems using a reference governor
Marko Nonhoff, Johannes Köhler, Matthias A. Müller
In this work, we propose a control scheme for linear systems subject to pointwise in time state and input constraints that aims to minimize time-varying and a priori unknown cost f…
On the relation between dynamic regret and closed-loop stability
Marko Nonhoff, Matthias A. Müller
In this work, we study the relations between bounded dynamic regret and the classical notion of asymptotic stability for the case of a priori unknown and time-varying cost function…
Online convex optimization for data-driven control of dynamical systems
Marko Nonhoff, Matthias A. Müller
We propose an algorithm based on online convex optimization for controlling discrete-time linear dynamical systems. The algorithm is data-driven, i.e., does not require a model of…
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…
An online convex optimization algorithm for controlling linear systems with state and input constraints
Marko Nonhoff, Matthias A. Müller
This paper studies the problem of controlling linear dynamical systems subject to point-wise-in-time constraints. We present an algorithm similar to online gradient descent, that c…
Online Gradient Descent for Linear Dynamical Systems
Marko Nonhoff, Matthias A. Müller
In this paper, online convex optimization is applied to the problem of controlling linear dynamical systems. An algorithm similar to online gradient descent, which can handle time-…
Economic model predictive control for snake robot locomotion
Marko Nonhoff, Philipp N. Köhler, Anna M. Kohl +2
In this work, the control of snake robot locomotion via economic model predictive control (MPC) is studied. Only very few examples of applications of MPC to snake robots exist and…