Prof. Dr.-Ing. Paolo Mercorelli
Vita
- Included in both the career-long and single-year rankings of the World’s Top 2% Scientists 2025 in accordance with Elsevier Database and featured in Stanford University
- Summer 2025 - through the University Studies Abroad Consortium (USAC) - lectures held at University of North Caroline at Wilmington, (USA) im Summersemester 2025
- Summer Semester 2025 Visiting Professor at Lublin University of Technology (Poland) and responsable for the course of "Kalman Filters and its Applications".
- Included in both the career-long and single-year rankings of the World’s Top 2% Scientists 2024 in accordance with Elsevier Database and featured in Stanford University
- Winter Semester 2024/2025 Visiting Professor at Lublin University of Technology (Poland) and responsable for the course of "Control Systems".
- Spring 2024 - Visiting Professor University of Miskolc in the context of the PhD School. Department of Automation and Communication Technology, Miskolc (Hungary)
- Included in both the career-long and single-year rankings of the World’s Top 2% Scientists 2023 in accordance with Elsevier Database and featured in Stanford University
- Summer 2023 - through the University Studies Abroad Consortium (USAC) - lectures held at National Public Research Universtiy of Kentucky, Kentucky, (USA)
- Visiting Professor at Chandigarh University (India) and responsable for the course "Control of Nonlinear Systems", 13th February-5th May 2023
- Included in both the career-long and single-year rankings of the World’s Top 2% Scientists 2022 in accordance with Elsevier Database and featured in Stanford University
- Editor-in-Chief for the Section „Engineering Mathematics“ in „Mathematics“, an Open Access Journal from MDPI, Basel, Switzerland
- Included in both the career-long and single-year rankings of the World’s Top 2% Scientists 2021 in accordance with Elsevier Database and featured in Stanford University
- Summer 2021 - through the University Studies Abroad Consortium (USAC) - lectures held at National Public Research Wright Universtiy (Ohio State University)
- Included in both the career-long and single-year rankings of the World’s Top 2% Scientists 2020 in accordance with Elsevier Database and featured in Stanford University
- Summer 2020 - through the University Studies Abroad Consortium (USAC) - lectures held at University of Nevada (Las Vegas and Reno) and University of Arkansas (Fayetteville)
- Spring 2020 - Visiting Professor at the University of Craiova in the context of 1st International Doctoral Workshop on Advanced Approaches in Robotics, Control and Computing of the Faculty of Automation, Computers and Electronics, Craiova (Romania)
- Der Zahlendreher: Article in PRISE - Das Lifestylemagazin
- Fall 2019 - Visiting Professor University of Miskolc in the context of the PhD School. Department of Automation and Communication Technology, Miskolc (Hungary)
- Included in both the career-long and single-year rankings of the World’s Top 2% Scientists 2019 in accordance with Elsevier Database and featured in Stanford University
- Since winter semester of the academic year 2017/2018 - International Distinguished Visiting Professor Fellowship at the institute of Automatic Control of Lodz University of Technology (Poland). He has been responsible for the course of "Modelling of Industrial Control Systems" and for the course of "Modelling Methods of Analog Circuits" at the Master Course in Automatic Control and Robotics
- Since 2018 - International Visiting Scientist Fellowship at the Academy of Science of Prague (Czech Republic)
- Since 01.03.2012 W3-Professorship (Distinguished Professor) and Head of the Chair of "Control and Drive Systems" at Leuphana University Lüneburg (Germany) (Full Professor: Professor Ordinarius according to the W3 German academic ranking)
- 2011 - Visiting Professor of System Dynamics at Villanova University (Pennsylvania, USA)
- 2011 - Received the Call for the Professorship of System Dynamics at Villanova University (Pennsylvania, USA). The Call was transfomed in a Visiting Professorship in order to remain in Germany
- In 2010 included in the short list of the candidates for Associate Professor in Electrical and Hybrid Drive Systems, VL-2010-0004 of the KTH Royal Institute of Technology of Stocholm
- 2009 - Visiting Professor of Mechatronics at the German University in Cairo (Egypt)
- 2009 - Received the Call for the Professorship of Mechatronics at the German Univrsity in Cairo (Egypt). The Call was transfomed in a Visiting Professorship in order to remain in Germany.
- 01.03.2005 - 29.02.2012 W2-Professor of "Process informatics" at the Ostfalia University of Applied Sciences in Wolfsburg (Germany) (Associate Professor according to the W2 German academic ranking)
- 01.03.2002-28.02.2005 - Head of the Control Engineering Group at the IAI GmbH (Institute for Automation and Computer Science, Centre for Industrial Research and Development) Wernigerode (Germany)
- 01.04.2001-29.02.2002 - Research assistant at the University of Siena (Italy)
- 20.07.1998 - 31.03.2001 - Postdoctoral Fellowship by European Commission (Marie Skłodowska-Curie Program / Research Associate), ABB (Asea Brown Boveri) Corporate Research AG in Heidelberg (Germany). The Marie Curie Actions research fellowship program is a set of mobility research grant schemes funding pre- and post-doctoral researchers in Europe as well as experienced researchers from all over the world. The Marie-Curie Fellowships are Europe’s most competitive and prestigious awards, and are aimed at fostering interdisciplinary research and international collaborations.
- 01.01.1997 - 30.11.1997 - Scientific work at the University of Santa Barbara (California) (USA) according to the doctoral program
- 01.11.1994 - 31.12.1998 - Scientific activity at the Alma Mater Studiorum University of Bologna according to the doctoral program
Publications
Contributions to collected editions/anthologies
- A sufficient asymptotic stability condition in generalised model predictive control to avoid input saturation
Paolo Mercorelli (Author) , 01.01.2019 , p. 251-257 , 7 p.Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research › peer-review
- Model predictive control for switching gain adaptation in a sliding mode controller of a DC drive with nonlinear friction
Jan Hendrik Röhl (Author) , Paolo Mercorelli (Author) , Harald Aschemann (Author) , Benedikt Haus (Author) , 01.11.2018 Piscataway , p. 765-770 , 6 p.Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research › peer-review
- Observer Strategies for Virtual Sensing of Embroidered Metal-Polymer Heater Structure
Florian Poschke (Author) , Horst Schulte (Author) , Paolo Mercorelli (Author) , Manuel Schimmack (Author) , 08.10.2018 , p. 887-892 , 6 p.Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research › peer-review
Courses
This course explores the theoretical foundations and algorithmic approaches for identifying and controlling discrete-time dynamical systems. Emphasis is placed on the modeling, estimation, and control of linear and nonlinear systems using data-driven and model-based techniques. Starting from the concept of transfer function in Z-domain, the direct and idirect method to design a controller are considered. Nonlinear anylysis based on the consinuous and discrete sliding Mode Control are proposed. The course will also address challenges such as system uncertainty, limited observability, noise, and computational constraints. Key topics include system identification, optimal control, adaptive control, and learning-based methods.
Das Modul bietet eine Einführung in die Elektrotechnik und vermittelt die Grundlagen der Gleichstromtechnik (Grundbegriffe, Grundgrößen, Modelle der Elektrotechnik und Berechnungsmethoden elektrischer Stromkreise bei Gleichstromtechnik). Weitere Themen sind das magnetische Feld (Feldgrößen, Kenngrößen magnetischer Kreise, Kraftwirkung und Erscheinungen bei zeitlicher Änderung, exemplarische Systemanwendungen) sowie das Messen elektrischer und magnetischer Größen.
Das Modul thematisiert die Grundlagen der Ingenieurmathematik wie z.B. Differenzialgleichungen (lineare und nichtlineare) und ihre Anwendung in den Ingenieurwissenschaften.
This course is designed to provide a foundational understanding of statistics with a particular focus on applying statistical concepts to the Kalman filter, which is widely used in fields like signal processing, control systems, and machine learning. The course will cover essential statistical methods and their applications, culminating in the introduction of the Kalman filter and its mathematical framework.Applications for technical, economical and biological systems.
Das Lehrforschungsprojekt ist für Studierende des Minor ING-Vertiefung als Pflichtmodul und für Studierende des Minor ING-Grundlagen als Wahlmodul konzipiert. Die möglichen Themenbereiche und Projektthemen werden wir zum Start am 03.11. vorstellen. Die Projekte sind sehr unterschiedlich angelegt und z.T. auch noch durch die Studierenden zu formen. Ebenfalls wird die Struktur der Veranstaltung und die Prüfungsleistung erläutert und die Gruppeneinteilung vorgenommen. Wir treffen uns dazu zur Einführungsveranstaltung am 03.11. in C12.002 in Präsenz. Die weiteren Termine finden dann in Absprache der jeweiligen Projektgruppe und des betreuenden Lehrenden statt.
Wir freuen uns auf die Projektarbeit!
Paolo Mercorelli, Andreas Zedler, Jannis Dethmann
Wir freuen uns auf die Projektarbeit!
Paolo Mercorelli, Andreas Zedler, Jannis Dethmann
The course is structured in three parts:
- Kalman Filters: the linear case, the nonlinear case (extended and augmented Kalman filters), cascaded Kalman Filters, Dual Kalman Filters
- Recursive Least Squares Methods System Identification
- Introduction to Wavelets packets: Data Analysis and Reconciliation
The topics mentioned above are developed using Matlab/Simulik directly in the Computers Room together with the teacher.
- Kalman Filters: the linear case, the nonlinear case (extended and augmented Kalman filters), cascaded Kalman Filters, Dual Kalman Filters
- Recursive Least Squares Methods System Identification
- Introduction to Wavelets packets: Data Analysis and Reconciliation
The topics mentioned above are developed using Matlab/Simulik directly in the Computers Room together with the teacher.
The course is structured in three parts:
- Kalman Filters: the linear case, the nonlinear case (extended and augmented Kalman filters), cascaded Kalman Filters, Dual Kalman Filters
- Recursive Least Squares Methods System Identification
- Introduction to Wavelets packets: Data Analysis and Reconciliation
The topics mentioned above are developed using Matlab/Simulik directly in the Computers Room together with the teacher.
- Kalman Filters: the linear case, the nonlinear case (extended and augmented Kalman filters), cascaded Kalman Filters, Dual Kalman Filters
- Recursive Least Squares Methods System Identification
- Introduction to Wavelets packets: Data Analysis and Reconciliation
The topics mentioned above are developed using Matlab/Simulik directly in the Computers Room together with the teacher.