Vorlesungsverzeichnis

Think Mathematically, Act Algorithmically: Optimization Techniques (Complementary Studies) (Seminar)

Termin:
wöchentlich | Mittwoch | 08:15 - 09:45 | 06.04.2026 - 10.07.2026 | C 12.015 Seminarraum

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.

Applied Algorithms in Estimation and in Control of Technical, Economical and Biological Dynamical Systems (Seminar)

Dozent/in: Paolo Mercorelli

Termin:
wöchentlich | Montag | 18:15 - 19:45 | 06.04.2026 - 10.07.2026 | C 40.106 Konrad-Zuse-Raum

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). Nonconvex optimization: Particle Swarm Optimization Methods. Modelling and observers: examples of usage of observers in technical, economic and biologic systems. (Examples: 1. electrical motor with mechanical load. 2. Simple capital investment system. Lotka-Volterra model). 3. A control strategy: Sliding Mode Control. Examples of control of a simple capital investment system. Control of an electrical motor.

Think Mathematically, Act Algorithmically: Optimization Techniques (PhD) (Seminar)

Dozent/in: Paolo Mercorelli

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.

Dynamische Systeme (Vorlesung/Übung)

Dozent/in: Paolo Mercorelli, Rainer Meyer

Termin:
14-täglich | Freitag | 08:15 - 09:45 | 06.04.2026 - 10.07.2026 | C 40.106 Konrad-Zuse-Raum
wöchentlich | Freitag | 10:15 - 11:45 | 06.04.2026 - 10.07.2026 | 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.

Leuphana Bachelor - Minor Ingenieurwissenschaften (Vertiefung) - Dynamische Systeme

Tutorium Dynamische Systeme (Tutorium)

Dozent/in: Paolo Mercorelli, Rainer Meyer

Termin:
wöchentlich | Freitag | 16:00 - 17:30 | 06.04.2026 - 10.07.2026 | intern | C12.311

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.

Leuphana Bachelor - Minor Ingenieurwissenschaften (Vertiefung) - Dynamische Systeme

Qualitätszirkel Minor Ingenieurwissenschaften Grundlagen (Seminar)

Dozent/in: Brit-Maren Block, Paolo Mercorelli

zusätzliche Angebote - Qualitätszirkel - College

Qualitätszirkel Major Ingenieurwissenschaften und Minor Ingenieurwissenschaften Vertiefung (Seminar)