Course Schedule

Veranstaltungen von Prof. Dr.-Ing. Paolo Mercorelli


Lehrveranstaltungen

Dynamische Systeme (Vorlesung/Übung)

Dozent/in: Paolo Mercorelli, Rainer Meyer

Termin:
 14-täglich | Freitag | 08:15 - 09:45 | 07.04.2025 - 11.07.2025 | C 40.106 Konrad-Zuse-Raum
wöchentlich | Freitag | 10:15 - 11:45 | 07.04.2025 - 11.07.2025 | 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.

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

Dozent/in: Paolo Mercorelli

Termin:
 wöchentlich | Mittwoch | 08:15 - 09:45 | 07.04.2025 - 11.07.2025 | C 40.106 Konrad-Zuse-Raum

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.

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

Dozent/in: Paolo Mercorelli

Termin:
 wöchentlich | Mittwoch | 08:15 - 09:45 | 07.04.2025 - 11.07.2025 | C 40.106 Konrad-Zuse-Raum

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.

Tutorium Dynamische Systeme (Tutorium)

Dozent/in: Paolo Mercorelli, Rainer Meyer

Termin:
 wöchentlich | Freitag | 16:00 - 17:30 | 07.04.2025 - 11.07.2025 | 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.