Course Schedule

Veranstaltungen von Prof. Dr.-Ing. Paolo Mercorelli


Lehrveranstaltungen

Think Mathematically, Act Algorithmically: Modelling and Control of Dynamical Systems using Linear and Nonlinear Differential Equations (PhD) (Seminar)

Dozent/in: Paolo Mercorelli

Termin:
 wöchentlich | Mittwoch | 08:15 - 09:45 | 16.10.2024 - 31.01.2025 | C 40.106 Konrad-Zuse-Raum | This course is offered for Masters and PhD students.

Inhalt: Forms of Modelling of dynamical systems (technical, biological, economic and social systems), which can be seen as a course of applied mathematics intended for humanists, aims to try to introduce those forms with their language to be used to interpret and describe systems. Benefiting from having knowledge in the field of applied mathematics is in the same way important as benefiting from having knowledge in the field of German literature, or theology, philosophy or agronomy for example. Humanists with no experience in training in the formal notation of applied mathematics, which, in nearly every case, works as compactness over explanatory transparency, have difficulties in making their way through an argument depending on that form. And there is, in general, no way to “figure it out” without that kind of training. As mentioned, applied mathematics, in nearly every case, works as compactness over explanatory transparency and represents, nevertheless, a clear paradoxically valid mystification of the reality. Humanists can have interest to build a proper set of concepts for dealing with modelling and simulation forms. Modelling and simulation forms of dynamical systems can be represented using different but equivalent structures such as equations with variables defined in real time, block diagrams, equations with variables defined in the imaginary domain or others. But, paradoxically, without those mathematical valid mystifications they become mostly unintelligible. To conclude, independently of the motivations of each of us, the most important aim is to try knowing our soul better, as long as we are assuming that our soul manifests itself in different but, in the meantime, "complementary" forms. (Free interpreted from De Anima, Aristotle).

Think Mathematically, Act Algorithmically: Numerical Algorithms and Methods to Identify Dynamical Systems for Data Analysis and Reconciliation (PhD) (Seminar)

Dozent/in: Paolo Mercorelli

Termin:
 wöchentlich | Mittwoch | 18:00 - 19:30 | 14.10.2024 - 31.01.2025 | C 40.106 Konrad-Zuse-Raum | This course is offered for Masters and PhD students.

Inhalt: 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.

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

Dozent/in: Paolo Mercorelli

Termin:
 wöchentlich | Montag | 18:15 - 19:45 | 14.10.2024 - 31.01.2025 | 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). 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.

Think Mathematically, Act Algorithmically: Modelling and Control of Dynamical Systems using Linear and Nonlinear Differential Equations (Complementary Studies) (Seminar)

Dozent/in: Paolo Mercorelli

Termin:
 wöchentlich | Mittwoch | 08:15 - 09:45 | 23.10.2024 - 22.01.2025 | C 40.106 Konrad-Zuse-Raum | This course is offered for Masters and PhD students.

Inhalt: Forms of Modelling of dynamical systems (technical, biological, economic and social systems), which can be seen as a course of applied mathematics intended for humanists, aims to try to introduce those forms with their language to be used to interpret and describe systems. Benefiting from having knowledge in the field of applied mathematics is in the same way important as benefiting from having knowledge in the field of German literature, or theology, philosophy or agronomy for example. Humanists with no experience in training in the formal notation of applied mathematics, which, in nearly every case, works as compactness over explanatory transparency, have difficulties in making their way through an argument depending on that form. And there is, in general, no way to “figure it out” without that kind of training. As mentioned, applied mathematics, in nearly every case, works as compactness over explanatory transparency and represents, nevertheless, a clear paradoxically valid mystification of the reality. Humanists can have interest to build a proper set of concepts for dealing with modelling and simulation forms. Modelling and simulation forms of dynamical systems can be represented using different but equivalent structures such as equations with variables defined in real time, block diagrams, equations with variables defined in the imaginary domain or others. But, paradoxically, without those mathematical valid mystifications they become mostly unintelligible. To conclude, independently of the motivations of each of us, the most important aim is to try knowing our soul better, as long as we are assuming that our soul manifests itself in different but, in the meantime, "complementary" forms. (Free interpreted from De Anima, Aristotle).

Think Mathematically, Act Algorithmically: Numerical Algorithms and Methods to Identify Dynamical Systems for Data Analysis and Reconciliation (Complementary Studies) (Seminar)

Dozent/in: Paolo Mercorelli

Termin:
 wöchentlich | Mittwoch | 18:00 - 19:30 | 14.10.2024 - 31.01.2025 | C 40.106 Konrad-Zuse-Raum | This course is offered for Masters and PhD students.

Elektrotechnik 1 (Vorlesung)

Dozent/in: Brit-Maren Block, Paolo Mercorelli, Rainer Meyer, N. N.

Termin:
 wöchentlich | Mittwoch | 08:15 - 11:00 | 14.10.2024 - 31.01.2025 | C 40.501 Seminarraum
wöchentlich | Mittwoch | 08:15 - 11:00 | 14.10.2024 - 31.01.2025 | C 40.U81 ET- Labor | C40.U81 (ET-Labor)

Inhalt: 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.

Aktorik (Vorlesung/Übung)

Dozent/in: Paolo Mercorelli, Andreas Zedler

Termin:
 wöchentlich | Mittwoch | 10:15 - 13:45 | 14.10.2024 - 31.01.2025 | C 12.009 Seminarraum
wöchentlich | Mittwoch | 10:15 - 13:45 | 14.10.2024 - 31.01.2025 | intern | C40.U81
wöchentlich | Mittwoch | 10:15 - 13:45 | 14.10.2024 - 31.01.2025 | C 40.106 Konrad-Zuse-Raum

Automatisierungstechnik (Vorlesung/Übung)

Dozent/in: Paolo Mercorelli, Andreas Zedler

Termin:
 wöchentlich | Freitag | 08:15 - 11:45 | 14.10.2024 - 31.01.2025 | C 11.320 Seminarraum
wöchentlich | Freitag | 08:15 - 11:45 | 14.10.2024 - 31.01.2025 | C 40.U81 ET- Labor | C40.U81
wöchentlich | Freitag | 08:15 - 11:45 | 14.10.2024 - 31.01.2025 | C 40.106 Konrad-Zuse-Raum

Ingenieurmathematik (Vorlesung)

Dozent/in: Paolo Mercorelli

Termin:
 wöchentlich | Donnerstag | 12:15 - 13:45 | 14.10.2024 - 31.01.2025 | C 40.106 Konrad-Zuse-Raum | -
14-täglich | Donnerstag | 14:15 - 15:45 | 14.10.2024 - 31.01.2025 | C 40.106 Konrad-Zuse-Raum | -

Inhalt: Das Modul thematisiert die Grundlagen der Ingenieurmathematik wie z.B. Differenzialgleichungen (lineare und nichtlineare) und ihre Anwendung in den Ingenieurwissenschaften.