Computational Modeling and Simulation II: Continuous Systems
by Prof. Dr.-Ing. Dietmar P. F. Möller, PhD Hamid Vakilzadian

Description
The class will provide fundamental topics on modeling and simulation of continuous time systems ranging from mathematical description to simulation-based analysis Modeling techniques simulation tools, verification and validation in the context of a design in several application domains, single - and multi step integration algorithms, stability analysis as well as existence and uniqueness of the solution will be covered.
The examples and projects in this course will be selected from engineering, especially from electrical and computer engineering.
Lecture recordings
LO 0: Overview
LO 1: Introduction to Systems
LO 1: Introduction to Systems
1.3 Systems Representation
LO 1: Introduction to Systems
LO 3: Representation of Models
LO 3: Representation of Models
LO 4: Simulation Software
History of Simulation Software
LO 4: Simulation Software
Simulation Software Packages
LO 4: Simulation Software
LO 4: Simulation Software
LO 5: Parameter Identification of Continuous Time Systems
5.3 Mathematical Notation of the Identification Task
LO 6: Soft Computing in Simulation
LO 6: Soft Computing in Simulation
Fuzzy-Logic Systems with Fuzzyfication and Defuzzyfication
LO 6: Soft Computing in Simulation
Fuzzy Modeling of a Soccer Playing Mobile Robot
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Short information
Semester: WS 15/16
Lecture number: N/A
English16:51:3926.Oct.2015898 -
Contributors
CameraMaximilian IllhardtAnja Michaela KaiserLecturerProf. Dr.-Ing. Dietmar P. F. MöllerPhD Hamid Vakilzadian -
Hints
Videoserver FAQ (in german only)
Additional information about the lecture:
Institut für Mathematik or in the directory of lectures