Title : Data-driven Optimal Fault-Tolerant Control
PhD Supervisors : Profs. Joseph J. Yamé and Frédéric Hamelin (email: joseph.yame@univ-lorraine.fr)
Location: Control, Identification & Diagnosis (CID) department, Centre de Recherche en Automatique de Nancy, Université de Lorraine, Nancy
http://www.cran.univ-lorraine.fr/detailsujetpublic.php?appel=form_rech&codetheme=&codelangue=FR&codesujet=01738&codetypesujet=03
Description: A PhD position is available in data-driven optimal fault-tolerant control of dynamical systems at the Centre de Recherche en Automatique de Nancy (France).
The current power of computing devices, the IoTs, and the availability of mathematical and algorithmic tools for processing
high-dimensional data have led to a strong revival of interest in the use of data for the control of complex dynamic
systems. This use of data is also strongly driven by the emergence of artificial intelligence techniques in automatic
control. If the synthesis of controllers by indirect approaches, i.e., by identifying the model of the system on the
basis of data and then following a second step of designing the controller from the identified model, is not new,
direct methods where the synthesis of the controller is directly driven by data are emerging as an effective
alternative for the control of dynamics that are difficult to model or unknown. The behavioral Fault-Tolerant Control approach initiated
in our work and summarized in the monograph [https://link.springer.com/book/10.1007/978-3-319-68829-9] is being rediscovered today as one of the appropriate
mathematical frameworks for data-driven direct analysis and synthesis. This thesis aims to put forward alternative data-based representation suitable for optimal fault-tolerant control.
The generic character of the expected results should allow their application to a wide range of systems. In particular,
validation of the results will be done on the newly built CRAN Eco-sûr platform, dedicated to the problems of
control for the energy efficiency of buildings. The platform has many measurement systems that provide data on
many variables related to indoor and outdoor climatic conditions of buildings for their monitoring and control.
Qualifications: Successful candidates will
• hold a masters degree or equivalent in systems and control theory or applied mathematics.
• have exceptional written and verbal communication skills
• Have a good knowledge of the MATLAB/Simulink environment
Applications will be evaluated as soon as they are received, until the position is filled.
How to Apply: E-mail your CV, transcripts, and statement of intent to Prof. Joseph Yamé (joseph.yame@univ-lorraine.fr).
