Control Systems (CORO CSYS)
Master of science
À Nantes
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Learn and understand the modern theoretical framework for analysis and modelling of dynamic systems
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Typologie
Master of science
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Lieu
Nantes
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Durée
2 Ans
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Dates de début
Dates au choix
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 four specialisms available within the Control and Robotics stream. Some of the M1 courses are the taught across the four specialisms whereas the M2 courses are specialism-specific. See course content for more details.
The language of instruction is English across the two years.
Précisions importantes
Documents
- MASTER CORO-CSYS_web2019.pdf
Modalité Formation continue
Les sites et dates disponibles
Lieu
Date de début
Date de début
À propos de cette formation
The main objectives are: to learn and understand the modern theory framework for analysis and modelling of dynamic systems, to learn how to apply adapted methods of control, estimation and diagnostics (linear, nonlinear, robust, optimal etc) to dynamic systems and to be able to apply these methods to real systems.
Students must have: a bachelor's degree in Engineering, Science or Technology, or a 'license' qualification or equivalent. Applicants must have a good level in Mathematics and be fluent in English - written and spoken. An applicant whose native language is not English is required to pass a recognised international test of English (TEOFL, IELTS, TOEIC or Cambridge Advanced English Test). Applicants who carried out their studies in English may provide an official letter from their university stating that the language of instruction was English in place of one of the approved English tests.
This program provides good prospects for employment or further study. Former students have worked in the following feilds and sectors: aeronautics, automotive, transportation, energy, consulting, banking, petroleum, control engineering, advanced processes, manufacturing, research and innovation. Some positions that alumni have held: control engineer, process engineer, design engineer, research and innovation engineer (post PhD)
Les Avis
Les matières
- Image
- Information
- Signal filter
- Systems
- Computation
- Embedded computing
- Project
- Digital signal
- Machine Learning
- Biomedical
Professeurs
Corps enseignant École Centrale de Nantes
Nantes
Le programme
30 ECTS Credits per semester.
Autumn Semester Courses
- Signal Processing
- Classical Linear Control
- Artificial Intelligence
- Modelling of Manipulators
- Systems Identification and Signal Filtering
- Embedded Computing
- Modern Languages *
Spring Semester Courses
- Group Project
- Optimization Techniques
- Mobile Robots
- Programming Real Time Systems
- Dynamic Model Based Control
- Non Linear Control Theory
- Modern Languages *
* '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
- Mathematical modelling
- Optimization
- Robust and optimal control
- Observation and diagnostic
- Complex systems
- Generalized and time varying systems
- Modern Languages *
- Project
- Conferences
* 'French as Foreign Language' except for French native speakers who will study 'Cultural and Communicational English'
Spring Semester
Master thesis / internship
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
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Control Systems (CORO CSYS)