|Name: ||Linear and Nonlinear System Identification|
|Extent of studies: ||5|
|Rekommenderad studiegång (SP): ||Year 1: 5 Year 2: Year 3: Year 4: Year 5: |
|Prerequisites: ||Prerequisites: TKV17AT01 and TKV17AT02|
|Course-specific competence: ||Contents|
Process understanding is the key to successful automation and control. This understanding must necessarily include the understanding of the dynamics governing the behavior of the system. The availability of big amounts of data for various systems makes it possible to identify both linear and non-linear models to fit the data. The course treats system identification with starting point in linear, time-invariant systems and moves on to time-varying, nonlinear large-scale systems. The aim is to understand the benefits of small-scale simple models, e.g. for control purposes, while at the same time have the capacity to derive large-scale models when such are deemed necessary.
Lectures, discussions and laboratory-based project work.
|Course-specific competence (file): |
|Language of instruction: ||Engelska|
|Administering Degree Programme: ||Master of Engineering, Automation Technology|