Control Systems (CORO CSYS)


Head of Master Programme: Guy Lebret (M1), Franck Plestan (M2) and Olivier-Henri Roux

Programme Objectives

The objective of this specialism is to provide theoretical and methodological tools in order to analyse the structure and properties of dynamic systems, and to design control and observation solutions.

The courses introduce recent results in modern control theory of linear and nonlinear systems, including structural analysis, modelling, control and observation structures design (robust, optimal, …), and application of optimization methods in control system design. An important component is the use of real applications across different fields (energy, grids, transportation etc) in order to illustrate the different concepts of modelling, control and observation.

The programme of study lasts two academic years - denoted by M1 and M2. Control Systems is one of five specialisms available within the Control and Robotics stream. Some of the M1 courses are the taught across the five specialisms whereas the M2 courses are specialism-specific. See course content for more details.

The language of instruction is English across the two years.

Course Content - M1

30 ECTS Credits per semester.

Autumn Semester Courses ECTS Spring Semester Courses ECTS
Signal Processing  5 Group Project 6
Classical Linear Control 5 Optimization Techniques  4
Artificial Intelligence 4 Mobile Robots 4
Modelling of Manipulators 4 Programming Real Time Systems 4
Systems Identification and Signal Filtering 4 Dynamic Model Based Control 4
Embedded Computing 4 Non Linear Control Theory 4
Modern Languages * 4 Modern Languages * 4

* 'French as Foreign Language' except for French native speakers who will study 'Cultural and Communicational English'

NB Course content may be subject to minor changes

Course Content - M2

30 ECTS Credits per semester

Autumn Semester Courses ECTS
Mathematical modelling  4
Optimization  4
Robust and optimal control  5
Observation and diagnostic  4
Complex systems  4
Generalized and time varying systems  3
Modern Languages *  4
Project  2
Conferences  -

* 'French as Foreign Language' except for French native speakers who will study 'Cultural and Communicational English'

Spring Semester
ECTS
Master thesis / internship                     30
 
Examples of previous internships in industry:
  • Modelling and control design of floating wind turbines
  • Estimation algorithms of thermal parameters in a house
  • Modelling of distributed renewable energy in a transmission power grid
Examples of previous internships in research labs:
  • Impact investigation and control of increasing electric vehicle loads on distribution power grids
  • Robust nonlinear control of a 3DOF helicopter
  • Optimal control of power electronic elements inserted into modern power transmission grids
NB Course content may be subject to minor changes

Skills developed


  • Learn and understand the modern theory framework for analysis and modelling of dynamic systems;
  • Learn how to apply adapted methods of control, estimation and diagnostics (linear, nonlinear, robust, optimal etc) to dynamic systems;
  • Be able to apply these methods to real systems.
In addition to the above specialism-specific skills, students will also develop more general skills:
  • Identify models, perform simulation and analyse results
  • Communicate comprehensive results in a meaningful way
  • Undertake bibliographic surveys of international research and professional literature
  • Manage or be part of a project

Prospects for employment or further study


  • Sectors: aeronautics, automotive, transportation, energy, consulting, banking, petroleum
  • Fields: control engineering, advanced processes, manufacturing, research and innovation
  • Positions: control engineer, process engineer, design engineer, research and innovation engineer (post PhD)
Published on April 13, 2017 Updated on November 5, 2018