Vorlesungsverzeichnis
Suchen Sie hier über ein Suchformular im Vorlesungsverzeichnis der Leuphana.
Veranstaltungen von Prof. Dr.-Ing. Paolo Mercorelli
Lehrveranstaltungen
Think Mathematically, Act Algorithmically: Optimization Techniques (Seminar)
Dozent/in: Paolo Mercorelli
Termin:
wöchentlich | Freitag | 16:00 - 18:00 | 07.04.2023 - 07.07.2023 | C 40.106 Konrad-Zuse-Raum | Info! Diese Veranstaltung ist eine gemeinsame Veranstaltung von Master Komplementär- und Promotionsstudium
Inhalt: MATLAB is a platform for scientific calculation and high-level programming which uses an interactive environment that allows to conduct complex calculation tasks more efficiently than with traditional languages, such as C, C++ and FORTRAN. It is the one of the most popular platforms currently used in the sciences and engineering. Optimization techniques can be applied in a wide interdisciplinary range of applications in control, estimation and identification problems. Using Matlab, the course embraces the most important optimization techniques and methods which can be used in control systems. The proposed techniques, e.g. Model Predictive Control, Two Point Boundary Optimization Problem, etc. are implemented using Matlab/Simulink. Through discussions on the mathematical origin of the proposed techniques and methods and their inspiring ideas the students should reach, not only a good command on the software, but also a critical spirit to interpret the nature of the algorithms and to reflect on their foundations and structures.
- Promotionsstudium Fakultät Management und Technologie / doctoral courses Faculty of Management and Technology - Promotionskolleg Technikwissenschaften - Forschungsmethoden Technikwissenschaften
- Promotionsstudium Fakultät Nachhaltigkeit / doctoral courses Faculty of Sustainabiliy - Promotionskolleg Nachhaltigkeitswissenschaft - Forschungsmethoden Nachhaltigkeitswissenschaften
- Promotionsstudium Fakultät Management und Technologie / doctoral courses Faculty of Management and Technology - Promotionskolleg Wirtschaftsinformatik - Forschungsmethoden Wirtschaftsinformatik
- Promotionsstudium Fakultät Management und Technologie / doctoral courses Faculty of Management and Technology - Promotionskolleg Management, Accounting & Finance - Forschungsmethoden Management, Accounting & Finance
- Promotionsstudium Fakultät Management und Technologie / doctoral courses Faculty of Management and Technology - Promotionskolleg Entrepreneurship, Management & Innovation - Forschungsmethoden Entrepreneurship, Management & Innovation
Applied Algorithms in Estimation and in Control of Technical, Economical, and Biological Dynamical Systems (FSL) (Seminar)
Dozent/in: Paolo Mercorelli
Termin:
wöchentlich | Montag | 16:15 - 17:45 | 03.04.2023 - 07.07.2023 | C 14.201
Inhalt: Introduction on Matlab/Simulink; the most important Matlab/Simulink functions; structure of a Matlab/Simulink model simulation through different examples (technical systems, economic systems, biologic systems,...). The course embraces stochastic and deterministic methods of identification and control of dynamical systems. Static and Recursive Least Squares Methods to estimate parameters of systems (simple technical and economic systems). An optimal estimator - Kalman Filter: the linear and nonlinear case. Examples of usage of Kalman Filter in technical, economic and biologic systems. (Examples: 1. estimation of random variables using Kalman Filter. 2 Inflation estimation in a simple capital investment system. Velocity, current and load in motor applications). An optimal control strategy - Model Predictive Control: the linear case. Examples of control of a simple capital investment system with estimated inflation. Control of an electrical motor.
- Leuphana Bachelor - Komplementärstudium - Methodenorientierte Zugänge zu den Naturwissenschaften
- Berufliche Bildung in der Sozialpädagogik [bis Studienbeginn 18/19] - Komplementärstudium - Methodenorientierte Zugänge zu den Naturwissenschaften
- Lehren und Lernen - Komplementärstudium - Methodenorientierte Zugänge zu den Naturwissenschaften
- Sozialpädagogik - Komplementärstudium - Methodenorientierte Zugänge zu den Naturwissenschaften
- Wirtschaftspädagogik - Komplementärstudium - Methodenorientierte Zugänge zu den Naturwissenschaften
Think Mathematically, Act Algorithmically: Optimization Techniques (Seminar)
Dozent/in: Paolo Mercorelli
Termin:
wöchentlich | Freitag | 16:00 - 18:00 | 07.04.2023 - 07.07.2023 | C 40.106 Konrad-Zuse-Raum | Info! Diese Veranstaltung ist eine gemeinsame Veranstaltung von Master Komplementär- und Promotionsstudium
Inhalt: MATLAB is a platform for scientific calculation and high-level programming which uses an interactive environment that allows to conduct complex calculation tasks more efficiently than with traditional languages, such as C, C++ and FORTRAN. It is the one of the most popular platforms currently used in the sciences and engineering. Optimization techniques can be applied in a wide interdisciplinary range of applications in control, estimation and identification problems. Using Matlab, the course embraces the most important optimization techniques and methods which can be used in control systems. The proposed techniques, e.g. Model Predictive Control, Two Point Boundary Optimization Problem, etc. are implemented using Matlab/Simulink. Through discussions on the mathematical origin of the proposed techniques and methods and their inspiring ideas the students should reach, not only a good command on the software, but also a critical spirit to interpret the nature of the algorithms and to reflect on their foundations and structures.
- Masterprogramm Humanities & Social Sciences: Kulturwissenschaften - Culture, Arts and Media [ab Studienbeginn WS 13/14] - Komplementärstudium - Reflecting on Research Methods
- Masterprogramm Management - Komplementärstudium - Reflecting on Research Methods
- Masterprogramm Governance & Law: Staatswissenschaften - Public Economics, Law and Politics - Komplementärstudium - Reflecting on Research Methods
- Masterprogramm Sustainability: Nachhaltigkeitswissenschaft - Sustainability Science - Komplementärstudium - Reflecting on Research Methods
- Masterprogramm Cultural Studies: Culture and Organization - Komplementärstudium - Reflecting on Research Methods
- Masterprogramm Kulturwissenschaften: Kritik der Gegenwart - Künste, Theorie, Geschichte - Komplementärstudium - Reflecting on Research Methods
- Masterprogramm Kulturwissenschaften: Medien und Digitale Kulturen - Komplementärstudium - Reflecting on Research Methods
- Masterprogramm Kulturwissenschaften: Theorie und Geschichte der Moderne (auslaufend) - Komplementärstudium - Reflecting on Research Methods
- Masterprogramm Psychology: Psychology and Sustainability - Complementary Studies - Reflecting on Research Methods
Dynamische Systeme (Vorlesung/Übung)
Dozent/in: Paolo Mercorelli
Termin:
14-täglich | Freitag | 08:15 - 09:45 | 03.04.2023 - 07.07.2023 | C 40.106 Konrad-Zuse-Raum
wöchentlich | Freitag | 10:15 - 11:45 | 03.04.2023 - 07.07.2023 | C 40.106 Konrad-Zuse-Raum
Inhalt: The module covers necessary mathematical foundations (deepening of ordinary differential equations, Fourier, Laplace, and Z-transformations) and imparts knowledge of properties of dynamic systems (continuous, discrete, static, dynamic, autonomous, controlled). In addition, the module covers topics such as modeling, stability and convergence analysis, behavior, and simulation of continuous and discrete systems. Aspects such as modeling, observability, and controllability of dynamic systems, stability criteria, transfer functions, stability analysis of root locus, controller design through pole placement, and classic (P, I, PD, PI, PID) and cascade controllers are also covered. The module's contribution to digitization and Industry 4.0 lies mainly in the area of discrete control systems.