activity
20182021
collaborators
Showing math.OCShow all

6 papers · 1 filter

math.OC2021

Teaching MPC: Which Way to the Promised Land?

Timm Faulwasser, Sergio Lucia, Moritz Schulze Darup +1

Since the earliest conceptualizations by Lee and Markus, and Propoi in the 1960s, Model Predictive Control (MPC) has become a major success story of systems and control with respec…

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…

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…

math.OC2018

On the structure of the set of active sets in constrained linear quadratic regulation

Martin Mönnigmann

The constrained linear quadratic regulation problem is solved by a continuous piecewise affine function on a set of state space polytopes. It is an obvious question whether this so…