3 citations · 11 across the 18 of their papers we have counts for
6 papers · 1 filter
Safe data-driven reference tracking with prescribed performance
Philipp Schmitz, Lukas Lanza, Karl Worthmann
We study output reference tracking for unknown continuous-time systems with arbitrary relative degree. The control objective is to keep the tracking error within predefined time-va…
Experimental validation for the combination of funnel control with a feedforward control strategy
Svenja Drücker, Lukas Lanza, Thomas Berger +2
Current engineering design trends, such as light-weight machines and humanmachine-interaction, often lead to underactuated systems. Output trajectory tracking of such systems is a…
On model predictive control with sampled-data input for output tracking with prescribed performance
Dario Dennstädt, Lukas Lanza, Karl Worthmann
We propose a model predictive control (MPC) scheme with sampled-data input which ensures output-reference tracking within prescribed error bounds for relative-degree-one systems. H…
Safe continual learning in model predictive control with prescribed bounds on the tracking error
Lukas Lanza, Dario Dennstädt, Thomas Berger +1
We develop a three-component Model Predictive Control (MPC) algorithm to achieve output-reference tracking with prescribed performance for continuous-time nonlinear systems. One co…
Sampled-data funnel control and its use for safe continual learning
Lukas Lanza, Dario Dennstädt, Karl Worthmann +4
We propose a novel sampled-data output-feedback controller for nonlinear systems of arbitrary relative degree that ensures reference tracking within prescribed error bounds. We pro…
Robust Funnel Model Predictive Control for output tracking with prescribed performance
Thomas Berger, Dario Dennstädt, Lukas Lanza +1
We propose a novel robust Model Predictive Control (MPC) scheme for nonlinear multi-input multi-output systems of relative degree one with stable internal dynamics. The proposed al…