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Automatique avancée – Vision et mécatronique (MRI)

FISE MRI Semester 9 Option Risks and Industrial Systems Machine translation

Advanced Automation

Teaching unit Vision and Mechatronics · MO_RSI1
10ECTS (EU)
1Coefficient
21:00Hours

Séquencement

C TD

Learning objectives

This course aims to enable students to: Analysis of the behaviour of nonlinear systems. Placing linearization into a palace by return to state Design normal non-linear forms of observability.

Prerequisites

ModuleTeaching unitSemester
Project: MathematicsMathematics and Computer Science 5S5
AutomationEngineering Sciences 6S6
Nonlinear OptimizationEngineering Sciences 7S7
Modeling and Control in State SpaceEngineering Sciences 8S8

Program

Analysis in the state space of nonlinear systems 1 - Commandability and observability of non-linear systems by differential geometry methods 2 - Accurate linearization of commandable systems around a point, by closure,

3 - Observability of non-linear systems,

4 - Linearization of observable systems by injection of outputs,

5 - Stability and stabilization of non-linear systems.

Assessment

Final review, authorized course documents and TDs, not authorized calculator.

References

i) Observer Design for Nonlinear Dynamic Systems: Differential Geometric Driss Boutat (Author), Gang Zheng Springer Nature Switzerland AG; 1st ed. 2021 edition (ii) Non linear control systems Isidori

Skills

1
Ref.VerbDescriptionLevel
C1_2designdesign commands and observers3