ACS318 System Identification
Modelling dynamical systems from first principles via Newton’s, Kirchoff’s or other known physical laws is often challenging and costly, requiring substantial expertise. An alternative is offered through “system identification” that takes observations of inputs and outputs from physical systems and infers or estimates a dynamical model directly.
Credits: 10 (Autumn semester)
Pre-requisites: ACS221 and ACS214
If you have any questions about the module please talk to me during the lectures or the labs in the first instance. It is likely that other students will learn from any questions you ask as well, so don’t be afraid to ask.
Outside of lectures please contact me via email, or drop by.
By the end of the module students will:
This module satisfies the AHEP3 (Accreditation of Higher Education Programmes, Third Edition) Learning Outcomes that are listed in brackets after each learning outcome above. For further details on AHEP3 Learning Outcomes, see the downloads section of our accreditation webpage.
1. Introduction to system identification
Learning and Teaching Methods
18 hours of lectures (9 x 2 hour lecture slots)
Learning and Teaching Materials
All teaching materials will be available via MOLE.
One two hour written examination
Students are given a formative (unassessed) problem class in week 6 in which they will attempt Matlab demonstrations with full code. Students are encouraged to repeat the formative assessment individually.
You will have an opportunity to view marked Exam Scripts once Exam results have been confirmed by the Faculty and released to students. The date of this Review session will be announced by the Departmental Office.
You will be able to look at the exam paper and a sample solution on the MOLE page for this module. The paper and solution will be available after the exam period.
Students are encouraged to provide feedback during the module direct to the lecturer. Students will also have the opportunity to provide formal feedback via the Faculty of Engineering Student Evaluation Survey at the end of the module.
• Rolf Iserman and Marco Munchhof, “Identification of Dynamic Systems”, Springer, 2011.