Study programme 2020-2021 | Français | ||
Advanced Control and Estimation | |||
Programme component of Master's in Mechanical Engineering : Specialist Focus on Mechatronics à la Faculty of Engineering |
Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what special Covid-19 assessment methods are possibly planned for the end of Q3 |
---|
Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|---|---|---|---|
UI-M1-IRMEME-002-M | Compulsory UE | VANDE WOUWER Alain | F107 - Systèmes, Estimation, Commande et Optimisation |
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|---|---|---|---|---|---|---|---|---|
| Anglais, Français, Anglais | 32 | 28 | 0 | 0 | 0 | 5 | 5.00 | 2nd term |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
---|---|---|---|---|---|---|---|---|
I-AUTO-004 | Advanced Control | 24 | 24 | 0 | 0 | 0 | Q2 | |
I-AUTO-014 | State Observers and Estimators | 8 | 4 | 0 | 0 | 0 | Q2 |
Programme component |
---|
Objectives of Programme's Learning Outcomes
Learning Outcomes of UE
describe the dynamic behaviour of multiple-input multiple-output (MIMO) processes using deterministic or stochastic state equations; linearize nonlinear state space equations; compute equilibrium points and analyze the local stability; compute the analytic solution of linear state space models; transform state space representation into canonical forms; compute matrices of transfert functions; analyze controllability and observability of linear systems; design state feedback controllers; design Luenberger observers and Kalman filters; analyze input-output coupling and pairing using the relative gain array; compute decentralized control structures using PID controllers; apply these approaches either to continuous or discrete time systems.
Content of UE
deterministic and stochastic state equations of continuous-time and discrete-time systems; stability analysis; commandability; observability; state feedback control; state estimation; Luenberger observer; Kalman filter; decentralized control;
Prior Experience
differential equations, transfer functions, PID controller
Type of Assessment for UE in Q2
Q2 UE Assessment Comments
Joint exam for Advanced Control and State Observers and Estimators.
Oral exam covering both theory (weighting 2/3) and exercises (weighting 1/3) with written preparation (oral exam represents 90% of the overall score).
Evaluation of practical work sessions (10% of the overall score).
Type of Assessment for UE in Q3
Q3 UE Assessment Comments
Joint exam for Advanced Control and State Observers and Estimators.
Oral exam covering both theory (weighting 2/3) and exercises (weighting 1/3) with written preparation (oral exam represents 90% of the overall score).
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
---|---|
I-AUTO-004 |
|
I-AUTO-014 |
|
Mode of delivery
AA | Mode of delivery |
---|---|
I-AUTO-004 |
|
I-AUTO-014 |
|
Required Reading
AA | |
---|---|
I-AUTO-004 | |
I-AUTO-014 |
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
---|---|
I-AUTO-004 | Not applicable |
I-AUTO-014 | Not applicable |
Recommended Reading
AA | |
---|---|
I-AUTO-004 | |
I-AUTO-014 |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
---|---|
I-AUTO-004 | Not applicable |
I-AUTO-014 | Not applicable |
Other Recommended Reading
AA | Other Recommended Reading |
---|---|
I-AUTO-004 | D. H. Owens, Multivariable and optimal systems, Academic Press, 1981 |
I-AUTO-014 | Not applicable |