3 papers
cs.LG2026
Impact of Markov Decision Process Design on Sim-to-Real Reinforcement Learning
Tatjana Krau, Jorge Mandlmaier, Tobias Damm +1
Reinforcement Learning (RL) has demonstrated strong potential for industrial process control, yet policies trained in simulation often suffer from a significant sim-to-real gap whe…
math.CO2026
Efficient -Sign Consistency Verification of Hankel Matrices via Schur Polynomials
Christian Grussler, Tobias Damm
We consider the problem of certifying (strict) -sign consistency of a matrix, that is, whether all of its -th order minors share the same (strict) sign. Although this problem…
math.OC2025
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…