3 citations · 5 across the 7 of their papers we have counts for
7 papers
A model-free approach to control barrier functions for higher-order systems
Lukas Lanza, Johannes Köhler, Dario Dennstädt +2
Control barrier functions (CBFs) are a widely applied modular tool to ensure safe operation of nonlinear dynamical control systems. However, for their construction accurate knowled…
On Model Predictive Funnel Control with Equilibrium Endpoint Constraints
Jens Göbel, Dario Dennstädt, Lukas Lanza +3
We propose model predictive funnel control, a novel model predictive control (MPC) scheme building upon recent results in funnel control. The latter is a high-gain feedback methodo…
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…
Funnel MPC with feasibility constraints for nonlinear systems with arbitrary relative degree
Thomas Berger, Dario Dennstädt
We study tracking control for nonlinear systems with known relative degree and stable internal dynamics by the recently introduced technique of Funnel MPC. The objective is to achi…