187 citations · 603 across the 24 of their papers we have counts for
7 papers · 1 filter
Data-Based Moving Horizon Estimation for Linear Discrete-Time Systems
Tobias M. Wolff, Victor G. Lopez, Matthias A. Müller
This paper introduces a data-based moving horizon estimation (MHE) scheme for linear time-invariant discrete-time systems. The scheme solely relies on collected data without employ…
Suboptimal nonlinear moving horizon estimation
Julian D. Schiller, Matthias A. Müller
In this paper, we propose a suboptimal moving horizon estimator for a general class of nonlinear systems. For the stability analysis, we transfer the "feasibility-implies-stability…
Data-driven model predictive control: closed-loop guarantees and experimental results
Julian Berberich, Johannes Köhler, Matthias A. Müller +1
We provide a comprehensive review and practical implementation of a recently developed model predictive control (MPC) framework for controlling unknown systems using only measured…
Linear tracking MPC for nonlinear systems Part II: The data-driven case
Julian Berberich, Johannes Köhler, Matthias A. Müller +1
We present a novel data-driven model predictive control (MPC) approach to control unknown nonlinear systems using only measured input-output data with closed-loop stability guarant…
Linear tracking MPC for nonlinear systems Part I: The model-based case
Julian Berberich, Johannes Köhler, Matthias A. Müller +1
We develop a tracking model predictive control (MPC) scheme for nonlinear systems using the linearized dynamics at the current state as a prediction model. Under reasonable assumpt…
Efficient Off-Policy Q-Learning for Data-Based Discrete-Time LQR Problems
Victor G. Lopez, Mohammad Alsalti, Matthias A. Müller
This paper introduces and analyzes an improved Q-learning algorithm for discrete-time linear time-invariant systems. The proposed method does not require any knowledge of the syste…
On the design of terminal ingredients for data-driven MPC
Julian Berberich, Johannes Köhler, Matthias A. Müller +1
We present a model predictive control (MPC) scheme to control linear time-invariant systems using only measured input-output data and no model knowledge. The scheme includes a term…