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

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Scientific presentation

The ARIA research team focuses on the design and development of advanced methods for modelling, observation, fault diagnosis, prognosis, fault tolerant control and guidance to meet the growing requirements of control system technologies in terms of operational safety, autonomy and availability..

These topics are integral components for health management of safety critical and autonomous systems. Methods are designed in a generic framework. Proposed solutions are next applied to aeronautical (aircraft, UAV, …), aerospace (spacecraft, …) or biomedical (diabetes, anesthesia, …) engineering issues.

Permanent Staff

received a MSc in Electronics, Electrotechnical and Automatics from University of Bordeaux 1 in 2004. He received hisPhD degree in automatic control from University Bordeaux 1 in 2007. His thesis topic was on Fault Tolerant Control (FTC) strategies dedicated to a commercial airplane. He was Associate Professor (2008-2023) of control engineering withthe University of Bordeaux, France. He received the authorization to conduct researche (HDR) in 2019 and obtained the Full Professor position (2023 to date). His expertise areas include Fault Diagnosis and Isolation (FDI), Fault-TolerantControl (FTC) and intelligent strategies for complex aerial systems (aircraft, satellite, UAV, …). Especially, the transient management due to the interaction between the FDI and FTC units is his topic of great interest. More recently, the development of a robust automated insulin delivery system based on biosensor measurements has been investigated to provide a viable solution against the high variability of type 1 diabetes patients. He is currently in charge of developingthe biomedical engineering axis, with a particular focus on the control of glycaemic variability for diabetes management, anaesthesia and cardiology.

After a PhD on diagnosis of electrical drives at Grenoble INP, Christophe Combastel’s research work has mainly dealt with dynamic model-based estimation and decision making under uncertainty, first at ENSEA as Associate Professor. Then, since his recruitment at the University of Bordeaux in the IMS laboratory on September 2015, he has gradually extended the range of his research work to safety and security of Cyber-Physical Systems (CPS). Whether for online fault diagnosis, integrity control, or verified model-based design, the main focus is on uncertainty propagation algorithms (reachability) and their use to estimate/characterize the system state (observers, predictor-corrector filters derived from Kalman filters). Special attention is paid to the case of bounded errors, without any specific assumption about the value distributions within different classes of support domains: intervals and, especially, zonotopes (affine images of a unit hypercube, that are implicitly described by a matrix). Multi-sensor data fusion under mixed uncertainties (e.g., zonotopic and gaussian, continuous and discrete/symbolic) is also the subject of original contributions. Part of this work has been used to estimate the position and speed of more autonomous civilian aircrafts during approach and landing phases (INS/GPS/ILS fusion). From this research work as a whole, it emerges that an active management of dependency traceability turns out to be very useful, not only to reduce the conservatism of enclosing set computations, but also to take into account the highly interconnected and distributed nature of more autonomous, safe and resilient Cyber-Physical Systems.

received the Ph.D. degree in control systems from Aix-Marseille University, Marseille, France, in 2011. Since 2012, he isan Associate Professor at Bordeaux University , Talence, France, at the IMS Lab. His main research interests concernmodel-based systems prognostic, interval observer design and parameter identification.

was born in Niort, France, in 1971. He received the Ph.D. degree in 1999 from the University of Bordeaux, France. He iscurrently a full professor at Bordeaux University, IMS laboratory (UMR CNRS n. 5218), France. His current researchinterests are theory and applications in model-based fault diagnosis, fault tolerant control, linear matrix inequalityoptimization techniques and sliding mode control with Hinf performance. His research application focuses on aeronauticsand space. He has published around 40 journal papers, 6 patents with AIRBUS, 8 chapter’s book + 1 complete book. He is an expert for the European Space Agency for GNC methods, the French space agency CNES (COMET SCA), Fonds de Recherche du Québec-Nature et technologies and for Italian Ministry of Education, University and Research (MIUR). He won several international prices: best ABB application/case study paper of the Safeprocess’ 2015 conference, best theoretical paper of the Safecprocess’ 2009 conference (2nd position), best thesis ‘‘Aerospace Valley’’ 2010 in the category <<aeronautic, space and embedded systems>>, best Ph.D. paper of the 2014 UKACC 10th International Conference on Control. He was involved in a wide number of aeronautical and space projects at the European level.

received his PhD from the University of Bordeaux, France – and has been a Full Professor of Control SystemsEngineering there since 2003. His current research interests are centered around autonomy, resilience and safety/(cyber)security of cyber-physical systems. He is member of International Technical Committees “SafeProcess” and “Aerospace” of IFAC – IEEE senior member, and TC member of EuroGNC (Council of European Aerospace societies). He has served as IPC member for various international conferences, and has delivered a number of plenary lectures and other invited talks at venues worldwide. He is an Associate Editor of the “Journal of the Franklin Institute” (Elsevier, USA) and “Complex Engineering Systems” journal – and Editorial Board member of “Aerospace Science and Engineering”, MDPI (Switzerland). He is author / co-author of more than 250 publications in archive journals, refereedconference proceedings and technical book chapters, and co-holder of 15 patents in aerospace. He is the recipient of CNRS Medal of Innovation 2016 which rewards – considering all fields and subfields of research – “outstanding scientificresearch with innovative applications in the technological and societal fields”. He is a senior member of “InstitutUniversitaire de France” — IUF for the term 2024-2029

Selection of past and current projects

2024-2029: (IUF grant) Innovative methodology to meet the emerging challenges of tomorrow’s civil aviation security, by creating a resilient and cyber-physical solution

2024-2028: (ANR grant, 460 k€) MIMICbio: Mathematical Modelling of human pancreatic Islet electrical aCtivity for bio-inspired and fully automated insulin delivery system. Partners: IMS, CBMN, LS2N

2024-2027: (ONERA / SZTAKI / Région Nouvelle Aquitaine / Pôle Aerospace Valley MAELE grant, 136K€) Active Flutter Suppresion for low-carbon aviation

2023-2026: (Ministery grant, 123 k€) Toward robust estimation and control algorithms hybridizing uncertain dynamic models and reinforcement learning

2023-2025: (IdeX grant, 64k€) Automated Multi-Drug Infusion System to Control Anesthesia and Hemodynamic Dynamics of Diabetic Patients. Partners: IMS, Bordeaux Hospitals.

2019-2024: (ECOS Nord grant, 24K€) Development of bio-inspired models to improve automatic continuous treatment devices for diabetic patients

2019-2022: (DGAC grant) COCOTIER, collaborative project on new technologies for future intelligent cockpit in Single Pilot Operations (SPO, 2030+). Partners: IMS, LAAS, ONERA, Airbus, Dassault, Safran, etc.

2019-2021: (ESA / GOMSPACE / MICOS / GMV Space / ALMATECH) RACE: Rendezvous Autonomous Cubesats Experiment

2018-2022: (ANR grant, 460 k€) ANR-DIABLO – Decode Islet Algorithms of a Bio-sensor for open and closed-loop glycemia control. Partners: IMS, CBMN, Bordeaux Hospitals

2016-2020: (Conacyt grant, Mexico, 120K€) Fault tolerant control using sliding mode methods

2016-2019: (UE grant, 42 k€) “Control and Management of Robotics Active Debris Removal” (COMRADE). Partners: GMV Space, ESA, Airbus Defence & Space Bremen, Exeter university and IMS.

2016-2018: (UE grant, 30 k€) “IOA-GNC: Advanced GNC for Assembly of Large and Flexible Structures and Vehicles”. Partners: GMV Space, Thales Aliena Space, Exeter university and IMS.

2013-2017: (ESA / Astrium Satellites / Région Aquitaine grant, 184K€) Active control with fault tolerance capabilities for microvibrations mitigation applied to high stability missions

2013-2016: (H2020 grant) IODISPlay: In-Orbit Demonstration Service Mission Portfolio

2014-2015: (AIRBUS Defence & Space/CNES grant, 20K€) Identification of bubbles in thruster-based propulsion systems.

2014-2015: (ESA / AIRBUS Defence & Space grant, 40K€) Advanced GNC for Active Debris Removal

2012-2014: (ESA / Thales Alenia Space grant, 23K€)  iGNC: integrated Guidance Navigation Control

2011-2014: (ESA / Thales Alenia Space grant, 150K€)  Enhanced Algorithms for Autonomous RendezVous and Docking missions

2009-2012: (UE grant, 3,6 M€) FP7-ADDSAFE to the development of Advanced Fault Diagnosis for Sustainable Flight Guidance and Control.

2007-2010: (French grant, 2,2M€) FRAE- project SIRASAS to the establishment of innovative strategies for an enhanced autonomy of aerospace systems.

2006-2008: European project FM-AG(16) GARTEUR on Fault Tolerant control

Partners

Collaborations and partners

In the field of aerospace, the partners are the most famous space industries and agencies in Europe to address: Trajectory planning, advanced control and navigation (camera-based), autonomous anomaly diagnosis and recovery, autonomous operations (assembly, capture, de-orbiting, on-orbit servicing,…)

 

In the field of biomedical, partners are CHU of Bordeaux, TIPS team of IMS and CBMN laboratory, with finantial support providedby French research agency to address the following topics: Closed-loop therapy, diabetes, identification of models mimicking a human micro-organism: the islets of Langherans, control allocation during anesthesia, …

 

In the field of aeronautic, the partner is the European aircraft manufacturer Airbus to address sustainability, advanced data fusion, autonomous take-off and landing issues.

ARIA Skills

Fault diagnosis and pronostic

Set-membership techniques: estimation, filtering and fault diagnosis

Robust control, sliding mode control, switching control

System identification, nonlinear Kalman estimation, sliding mode estimation

Integrity control

Fault tolerant control

Data fusion

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

Jérôme CIESLAK
Christophe COMBASTEL
David GUCIK-DERIGNY
David HENRY
Josué NKAYA NKAYA
Ali ZOLGHADRI
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

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