59 citations · 160 across the 12 of their papers we have counts for
6 papers · 1 filter
Data-driven Nonlinear Predictive Control for Feedback Linearizable Systems
Mohammad Alsalti, Victor G. Lopez, Julian Berberich +2
We present a data-driven nonlinear predictive control approach for the class of discrete-time multi-input multi-output feedback linearizable nonlinear systems. The scheme uses a no…
Robust Data-Driven Moving Horizon Estimation for Linear Discrete-Time Systems
Tobias M. Wolff, Victor G. Lopez, Matthias A. Müller
In this paper, a robust data-driven moving horizon estimation (MHE) scheme for linear time-invariant discrete-time systems is introduced. The scheme solely relies on offline collec…
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…
Practical exponential stability of a robust data-driven nonlinear predictive control scheme
Mohammad Alsalti, Victor G. Lopez, Julian Berberich +2
We provide theoretical guarantees for recursive feasibility and practical exponential stability of the closed-loop system of a feedback linearizable nonlinear system when controlle…
Data-based Control of Feedback Linearizable Systems
Mohammad Alsalti, Victor G. Lopez, Julian Berberich +2
We present an extension of Willems' Fundamental Lemma to the class of multi-input multi-output discrete-time feedback linearizable nonlinear systems, thus providing a data-based re…
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…