collaborators

5 papers

math.OC2020

State space sets with common optimal feedback laws for nonlinear MPC

Ruth Mitze, Raphael Dyrska, Kai König +1

In model predictive control (MPC), an optimal control problem (OCP) is solved for the current state and the first input of the solution, the optimal feedback law, is applied to the…

eess.SY2020

Supervisory model predictive control for PV battery and heat pump system with phase change slurry thermal storage

Yannik Löhr, Daniel Wolf, Clemens Pollerberg +2

We present the design, implementation and experimental validation of a supervisory predictive control approach for an electrical heating system featuring a phase change slurry as h…

math.OC2019

An observer for partially obstructed wood particles in industrial drying processes

Marc Oliver Berner, Viktor Scherer, Martin Mönnigmann

In order for biomass drying processes to be efficient, it is crucial to achieve the target residual water content within a close margin, since more conservative drying would result…

math.OC2019

A dynamic programming approach to solving constrained linear-quadratic optimal control problems

Ruth Mitze, Martin Mönnigmann

The solution of a constrained linear-quadratic regulator problem is determined by the set of its optimal active sets. We propose an algorithm that constructs this set of active set…

math.OC2019

A Complexity Analysis of Event-Triggered Model Predictive Control on Industrial Hardware

Patrik Simon Berner, Martin Mönnigmann

We implement a recently proposed event-triggered networked MPC approach on industrial hardware to analyze its practical relevance. There exist several alternatives for such an impl…