10 papers · 1 filter
Data-driven feedback rectification of switched linear systems
Philipp Schmitz, Hannes Gernandt, Maria C. Honecker +1
In this paper, a data-driven method for the computation of stabilizing state-feedbacks is proposed that leads to a rectified eigenstructure of switched linear systems. This means t…
Coupling optimization algorithms and monotone control systems: Suboptimal model predictive control as an operator splitting scheme
Till Preuster, Hannes Gernandt, Manuel Schaller
We propose a framework for suboptimal model predictive control (MPC) based on the interconnection of monotone dynamical systems, such as port-Hamiltonian systems. In contrast to cl…
Neural Scaling Laws for Learning-based Identification of Nonlinear Systems
Marco Roschkowski, Karim Cherifi, Hannes Gernandt
The use of machine learning models in system identification has increased due to their ability to approximate complex nonlinear dynamics with high accuracy. However, often it is no…
Stabilization of monotone control systems with input constraints
Till Preuster, Hannes Gernandt, Manuel Schaller
We present a stabilizing output-feedback controller for nonlinear finite and infinite-dimensional control systems governed by monotone operators that respects given input constrain…
Optimization-based control by interconnection of nonlinear port-Hamiltonian systems
Till Preuster, Hannes Gernandt, Manuel Schaller
In this paper, we develop a control-by-interconnection approach for the stabilization of nonlinear port-Hamiltonian systems. Motivated by model predictive control, the controller i…
Two energy methods for distributed port-Hamiltonian systems and their application to stability analysis
Marco Roschkowski, Hannes Gernandt
We develop two local energy methods for distributed parameter port-Hamiltonian (pH) systems on one-dimensional spatial domains. The methods are applied to derive a characterization…