3 ECTS credits
90 h study time
Offer 1 with catalog number 4007427EER for all students in the 1st semester at a (E) Master - advanced level.
Goal: to give an intuitive insight in the behavior of nonlinear systems. For that purpose we first provide the attendees with a theoretical framework that will be used next to develop a number of tools that can be easily used in practice to characterize nonlinear systems.
A theoretic framework
- Best linear approximation of nonlinear systems
- Parametric (NARX and block-oriented) representations of nonlinear systems
- Nonparametric (Volterra) representation of nonlinear systems
- Model structure detection using sparse approximation
- Nonlinear principal component analysis
- Nonlinear state-space identification
Course notes are made available during the lessons.
The students can find the best linear approximation of nonlinear systems.
The students use the Volterra representation of nonlinear systems as a general framework.
They understand the advantages and disadvantages of linear vs nonlinear and nonparameteric vs parameteric models.
This course contributes to the following programme outcomes of the Master in Electronics and Information Technology Engineering:
- in-depth knowledge and understanding of the advanced methods and theories to schematize and model complex problems or processes
- can correctly report on research or design results in the form of a technical report or in the form of a scientific paper
- work in an industrial environment with attention to safety, quality assurance, communication and reporting
- think critically about and evaluate projects, systems and processes, particularly when based on incomplete, contradictory and/or redundant information
- has a creative, problem-solving, result-driven and evidence-based attitude, aiming at innovation and applicability in industry and society
- Has a profound knowledge of measuring, modelling and control.
- Is able to analyze, specify, design, implement, test and evaluate individual electronic devices, components and algorithms, for signal-processing, communication and complex systems.
- Is able to model, simulate, measure and control electronic components and physical phenomena.
The final grade is composed based on the following categories:
Oral Exam determines 100% of the final mark.
Within the Oral Exam category, the following assignments need to be completed:
The evaluation is based on project work.
This offer is part of the following study plans:
Master of Electronics and Information Technology Engineering: Standaard traject (only offered in Dutch)
Master of Photonics Engineering: Standaard traject (only offered in Dutch)
Master of Photonics Engineering: On campus traject
Master of Photonics Engineering: Online/Digital traject
Master of Electrical Engineering: Standaard traject BRUFACE J