126-2 | Software sensors and observers | Physics Engineering and Embedded Systems - Apprenticeship | S8 | ||||||
---|---|---|---|---|---|---|---|---|---|
Lessons : 9 h | TD : 10 h | TP : 15 h | Project : 0 h | Total : 34 h | |||||
Co-ordinator : Olivier Gehan |
Prerequisite | |
---|---|
Continuous-time control Signal Processing |
|
Course Objectives | |
The main objective of this lecture is to provide to introduce to the student the concept of observation for linear dynamical systems. First of all, both continuous -time dans discrete time state space model are introduced. The second part of the lecture is dedicated to the observer design principles : observability property and criteria, observer design using pole placement and Kalman filtering |
|
Syllabus | |
Introduction discrete time state-space model Observability Kalman filtering |
|
Practical work (TD or TP) | |
the different elements are illustrated through several exemples under the Matlab/ simulink software. | |
Acquired skills | |
State space modelisation Observer design and implementation using Matlab |
|
Bibliography | |
Kalman Filtering, theory and practice using Matlab, M. Grewal and P. Andrews, Wiley 2015 |
© 2024 - ENSICAEN ( Legal Notices - Credits )