From the 1 of 7 linked papers with an AI index.
5 papers · 1 filter
Stabilize-then-optimize: Feedback transformations as preconditioners in optimal control
Till Preuster, Manuel Schaller, Anton Schiela +1
The paper proposes using feedback transformations as preconditioners to reformulate optimal control problems, reducing the norm of the control-to-state map and improving condition…
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…
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…
Existence of solutions to port-Hamiltonian systems: initial value problems and optimal control
Willem Esterhuizen, Bernhard Maschke, Till Preuster +2
We investigate the existence of solutions of reversible and irreversible port-Hamiltonian systems. To this end, we utilize the associated exergy, a function that is composed of the…