Martin Mönnigmann

Martin Mönnigmann

Ruhr-Universität Bochum

H-index: 25

Europe-Germany

About Martin Mönnigmann

Martin Mönnigmann, With an exceptional h-index of 25 and a recent h-index of 15 (since 2020), a distinguished researcher at Ruhr-Universität Bochum, specializes in the field of Automatic Control, Feedback Control, Optimal Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

Active set prediction for nonlinear model predictive control on a shrinking horizon based on the principle of optimality

NeuroPNM: Model reduction of pore network models using neural networks

Convective drying of wood chips: accelerating coupled DEM-CFD simulations with parametrized reduced single particle models

Wear dependent virtual flow rate sensor for progressing cavity pumps with deformable stator

Flying intelligent surfaces: Joint adjustment of position and configuration for UAV-mounted RIS

Estimating flow fields with reduced order models

Heat exchanger control using model predictive control with constraint removal

Embedded Implementation of a Neural Network emulating Nonlinear MPC in a process control application*

Martin Mönnigmann Information

University

Position

___

Citations(all)

2555

Citations(since 2020)

901

Cited By

1981

hIndex(all)

25

hIndex(since 2020)

15

i10Index(all)

58

i10Index(since 2020)

29

Email

University Profile Page

Ruhr-Universität Bochum

Google Scholar

View Google Scholar Profile

Martin Mönnigmann Skills & Research Interests

Automatic Control

Feedback Control

Optimal Control

Top articles of Martin Mönnigmann

Title

Journal

Author(s)

Publication Date

Active set prediction for nonlinear model predictive control on a shrinking horizon based on the principle of optimality

International Journal of Robust and Nonlinear Control

Raphael Dyrska

Martin Mönnigmann

2024/3/10

NeuroPNM: Model reduction of pore network models using neural networks

Particuology

Robert Jendersie

Ali Mjalled

Xiang Lu

Lucas Reineking

Abdolreza Kharaghani

...

2024/3/1

Convective drying of wood chips: accelerating coupled DEM-CFD simulations with parametrized reduced single particle models

Particuology

Lucas Reineking

Jonas Fischer

Ali Mjalled

Enric Illana

Siegmar Wirtz

...

2024/1/1

Wear dependent virtual flow rate sensor for progressing cavity pumps with deformable stator

Petroleum Science

Jens Müller

Sebastian Leonow

Johannes Schulz

Christian Hansen

Martin Mönnigmann

2023/10/28

Flying intelligent surfaces: Joint adjustment of position and configuration for UAV-mounted RIS

Kevin Weinberger

Simon Tewes

Jens Müller

Raphael Dyrska

Martin Mönnigmann

...

2023/6/20

Estimating flow fields with reduced order models

Heliyon

Kamil David Sommer

Lucas Reineking

Yogesh Parry Ravichandran

Romuald Skoda

Martin Mönnigmann

2023/11/1

Heat exchanger control using model predictive control with constraint removal

Applied Thermal Engineering

Raphael Dyrska

Michaela Horváthová

Peter Bakaráč

Martin Mönnigmann

Juraj Oravec

2023/6/5

Embedded Implementation of a Neural Network emulating Nonlinear MPC in a process control application*

Sebastian Leonow

Raphael Dyrska

Martin Mönnigmann

2023/6/13

Petroleum Science

RS Seright

Dongmei Wang

2023

Exploiting symmetries in active set enumeration for constrained linear–quadratic optimal control

Automatica

Ruth Mitze

Michal Kvasnica

Martin Mönnigmann

2023/5/1

Simple controller tuning for unmanned aerial vehicles using governors

Raphael Dyrska

Jens Müller

Miroslav Fikar

Martin Mönnigmann

2023/6/6

Reduced‐order modeling framework using two‐level neural networks

PAMM

Ali Mjalled

Edgar Torres

Martin Mönnigmann

2023/10

Simple Tuning of Arbitrary Controllers using Governors

IFAC-PapersOnLine

Miroslav Fikar

Karol Kiš

Martin Klaučo

Martin Mönnigmann

2023/1/1

Controller and method for adaptive two-position control

2023/8/22

Parametric Data-Driven Reduced Order Model using neural networks and manifold-based interpolation

Ali Mjalled

Lucas Reineking

Martin Mönnigmann

2023/6/6

Optimal stator adjustment with minimal sensor requirements for variable stator progressing cavity pumps

IFAC-PapersOnLine

J Müller

S Leonow

M Mönnigmann

2023/1/1

Teaching Model Predictive Control: WHAT, WHEN, WHERE, WHY, WHO, AND HOW?

IEEE Control Systems Magazine

Timm Faulwasser

Eric C Kerrigan

Filip Logist

Sergio Lucia

Martin Mönnigmann

...

2023/12/15

Parametric 3D Convolutional Autoencoder for the Prediction of Flow Fields in a Bed Configuration of Hot Particles

arXiv preprint arXiv:2307.02960

Ali Mjalled

Reza Namdar

Lucas Reineking

Mohammad Norouzi

Fathollah Varnik

...

2023/7/6

A reduced model for particle calcination for use in DEM/CFD simulations

arXiv preprint arXiv:2311.15279

Lucas Reineking

Torben Bergold

Enric Illana

Viktor Scherer

Martin Mönnigmann

2023/11/26

Exploiting Symmetries in Tree-Based Combinatorial Calculation of Explicit Linear MPC Solutions

Ruth Mitze

Martin Mönnigmann

2023/6/6

See List of Professors in Martin Mönnigmann University(Ruhr-Universität Bochum)