activity
20142026
most citedAnalysis and design of model predictive control frameworks for dynamic operation -- An overview

75 citations · 309 across the 47 of their papers we have counts for

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Showing 2022Show all

10 papers · 1 filter

cs.RO2022

Informed Circular Fields for Global Reactive Obstacle Avoidance of Robotic Manipulators

Marvin Becker, Philipp Caspers, Tom Hattendorf +3

In this paper a global reactive motion planning framework for robotic manipulators in complex dynamic environments is presented. In particular, the circular field predictions (CFP)…

eess.SY2022★ 8 cited

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…

eess.SY2022★ 7 cited

A moving horizon state and parameter estimation scheme with guaranteed robust convergence

Julian D. Schiller, Matthias A. Müller

We propose a moving horizon estimation scheme for joint state and parameter estimation for nonlinear uncertain discrete-time systems. We establish robust exponential convergence of…

cs.RO2022★ 14 cited

Motion Planning using Reactive Circular Fields: A 2D Analysis of Collision Avoidance and Goal Convergence

Marvin Becker, Johannes Köhler, Sami Haddadin +1

Recently, many reactive trajectory planning approaches were suggested in the literature because of their inherent immediate adaption in the ever more demanding cluttered and unpred…

math.OC2022★ 10 cited

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…

math.OC2022★ 1 cited

Configuration-Constrained Tube MPC

Mario E. Villanueva, Matthias A. Müller, Boris Houska

This paper is about robust Model Predictive Control (MPC) for linear systems with additive and multiplicative uncertainty. A novel class of configuration-constrained polytopic robu…

eess.SY2022★ 7 cited

Linearly discounted economic MPC without terminal conditions for periodic optimal operation

Lukas Schwenkel, Alexander Hadorn, Matthias A. Müller +1

In this work, we study economic model predictive control (MPC) in situations where the optimal operating behavior is periodic. In such a setting, the performance of a standard econ…

eess.SY2022★ 8 cited

Sample-based observability of linear discrete-time systems

Isabelle Krauss, Victor G. Lopez, Matthias A. Müller

In this work, sample-based observability of linear discrete-time systems is studied. That is, we consider the case where the system output measurements are not available at every t…

eess.SY2022★ 30 cited

On a Continuous-Time Version of Willems' Lemma

Victor G. Lopez, Matthias A. Müller

In this paper, a method to represent every input-output trajectory of a continuous-time linear system in terms of previously collected data is presented. This corresponds to a cont…

eess.SY2022★ 43 cited

A Lyapunov function for robust stability of moving horizon estimation

Julian D. Schiller, Simon Muntwiler, Johannes Köhler +2

We provide a novel robust stability analysis for moving horizon estimation (MHE) using a Lyapunov function. Additionally, we introduce linear matrix inequalities (LMIs) to verify t…