• ECTS

    5 credits

  • Component

    Faculty of Science

Description

The module will cover the following:

  • Link transfer function and differential equation
  • Continuous state representation and feedback (eigenvalues, stability)
  • Representation and Sampled State Feedback
  • Status feedback control without and with full loopback, LQR control
  • State Observers
  • Non-linear control with examples

Practical work: implementation of knowledge on real examples (e.g. electric motors), programming in python (numpy and control libraries).

 

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Objectives

  • Master the fundamental notions of multivariable automation.
  • To be able to extend the notions of control of linear systems to real systems, including non-linear systems.

 

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Necessary prerequisites

  • Linear algebra
  • Linear systems
  • Single-variable linear automatic

 

Recommended prerequisites* :

  • Python Programming
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Further information

CM : 24h

Practical work: 18h

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