Module catalogue 2023/2024
| 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 |
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| 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 |
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| Syllabus | |
| Introduction discrete time state-space model Observability Kalman filtering |
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| 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 |
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| Bibliography | |
| Kalman Filtering, theory and practice using Matlab, M. Grewal and P. Andrews, Wiley 2015 |
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