Automatic control

ARIA

The ARIA team brings together skills in the fields of robust and integrated approaches to automatic control.

The ARIA’s ambition is to ensure high-level scientific production both in the context of:

  • fundamental research regardless of application prospects;
  • applied research in digital and engineering sciences;
  • technological research with technological transfers attested by patents within the framework of partnership relations with industry.

The ARIA team develops model-based fault diagnosis, mixed interval/stochastic estimation, robust and fault tolerant control theories for aerospace, cyberphysics and biomedical systems.

The developed theories cover:

  • LFT, polytopes, LMI-SOS, μ − μg , IQC, sliding modes, interval observers, switching control, mixed interval/stochastic estimation, nonlinear filtering, hybrid optimisation

Read more
ARIA research presentation

Automatics research team

The ARIA team research work is concentrated on design and development of advanced methods for modelling, observation, fault diagnosis and fault tolerant control and guidance giving answers to increasing requirements for control system technologies in terms of safe operation autonomy and availability.


These topics are integral components for health management of safety critical systems. Even if the methods we develop are general and can be applied to other fields, we concentrated on GNC system for aerospace applications during the last five years.

Partners

Collaborations and partners

For the various research projects underway, the IMS Bordeaux laboratory and its teams rely on strong partnerships and collaborations, which allow for the creation of a synergy of strengths and a sharing of technical and human resources

Aria's-partners_Space2

Aerospace field

  • Trajectory planning, advanced control and navigation (camera-based), autonomous anomaly diagnosis and recovery, autonomous operations (assembly, capture, de-orbiting, on-orbit servicing,…)
  • The partners are the most famous space industries and agencies in Europe
Aria's-partners_Biomedical

Biomedical field

  • Closed-loop therapy, diabetes, identification of models mimicking a human micro-organism: the islets of Langherans
  • The partner is the CHU of Bordeaux, TIPS team of IMS and CBMN laboratory
Aria's-partners_aeronautic

Aeronautic field

  • Sustainability, safety, advanced data fusion, autonomous take-off and landing
  • The partner is the European aircraft manufacturer: Airbus

ARIA Skills

Fault diagnosis and pronostic

Set-membership techniques: estimation, filtering and fault diagnosis

Integrity control

Fault tolerant control

News

Latest news from the team

Project ILObio

Identification of the electrical activity of pancreatic islets for a bio-inspired control law dedicated to glycemia control

Members

Staff

Meet the members of the research team

Josué NKAYA NKAYA
Marc JARROSSAY
Ali ZOLGHADRI
Irryhl MOHAMMEDI
David GUCIK-DERIGNY
David HENRY
Jérôme CIESLAK
Christophe COMBASTEL
Résumé en français

Les activités scientifiques de l’équipe ARIA sont organisées autour des thèmes diagnostic et pronostic à base de modèles et commande tolérante aux fautes. Ces activités de recherche revêtent un caractère méthodologique général à base des outils H, H2, H-, H2g, LMI, les formalismes de modélisation des incertitudes dits ensembliste, zonotopique, polytopique et LFT, les approches par modes glissants (de la 1ère à la 5ème génération), les approches d’estimation d’état par intervalle, la théorie des systèmes commutés, la théorie des systèmes supervisés et la théorie des « cacheurs de fautes ».

Les travaux de recherche de l’équipe ARIA sont conduits dans le cadre d’une recherche partenariale très active, notamment en spatial (programmes « e.Deorbit », « In Orbit Assembly Guidance Navigation Control » et « integrated Guidance Navigation Control / Mars Sample Return » – TRL 5) et en aéronautique (projet « Advanced Fault Detection and Diagnosis for Civil Aircraft Flight Control System » – TRL 10)

L’équipe ARIA mène également des travaux de recherche transdisciplinaire autour de la maladie du diabète, en collaboration avec l’équipe Elibio de l’IMS, le laboratoire de Chimie et Biologie des Membranes et des Nano-objets (CBMN) et le CHU de Bordeaux. Les travaux de recherche visent à développer de nouveaux modèles dynamiques « bio-inspirés » ainsi que de nouveaux algorithmes de contrôle associés, pour l’amélioration des dispositifs de traitement automatique en continu pour les patients diabétiques de type 1.

 

Contact our team

If you have a request or questions about the laboratory, please contact our team.