Dynamics, Control and Observation of Processes


Scientific expertise:

Automatic, Process Engineering, Nonlinear Systems, Observability and Observer Design, Control and Stabilization, Output Control, Multi-Agent Systems, Hybrid Systems, Network Control Systems, Dynamic Process Modeling (from the laboratory scale to industrial scale), thermodynamics, estimation of physicochemical parameters by inverse methods ….

Examples of processes:

– three-phase catalytic processes such as Slurry columns
– fat production processes
– decantation
– catalytic foams
– multi-scale processes
– absorption processes
– reactive extrusion
– crystallization  in emulsion


Process dynamics and control of systems of conservation laws:

The design of energy efficient, reliable and intensive processes requires the development of dynamical models of processes which are accurate and adaptable and take account of their energy and entropy properties. Therefore the main research objective of the group is the development of modeling methods, algorithms for the numerical simulation and the control of processes which explicitly use the physical properties of the processes.

In a first instance, dynamical models using bond-graph modeling and the parameter identification of complex, network-structured processes are investigated by the use of measurements of transient behavior. Different multi-scale processes are considered such as adsorption, reactive extrusion processes, heat pumps, thermal stocks using phase changes in fluids and crystallization in emulsion processes, involving mass and heat transport in heterogeneous and reactive media with moving interface.

In a second instance, nonlinear control laws are developed, based on passivity techniques and using  invariants and balance equations of thermodynamically-based functions. For this goal our research group develops different formulation of processes, in particular the Continuous Stirred Tank Reactor, as quasi-port Hamiltonian systems or input-output contact systems. Control laws for the stabilization of such processes are then developed based on structure preserving feedback control such as IDA-PBC.

In a third instance the research group works on the control of systems of conservation laws, eventually augmented with source terms due for instance to the entropy creation terms. Infinite-dimensional port-Hamiltonian systems with boundary port variables are considered and specific spatial discretization algorithms are developed which preserve the Dirac structure underlying the port-Hamiltonian systems. The existence of solutions and the relation with boundary control systems and well-posed systems is also investigated, based on the semi-group theory or on classical fixed-point techniques. Finally the stabilization of nonlinear systems of conservation laws using Riemann invariants and gain scheduling is addressed.

 Directors: Melaz TAYAKOUT-FAYOLLE and Vincent ANDRIEU

Academic partners

Ampere Ecole Central https://www.ec-lyon.fr/recherche/laboratoires/ampere
AMPERE lab http://www.ampere-lab.fr/
Cran http://www.cran.univ-lorraine.fr/
Institut de Chimie de Lyon: ICL http://www.iclyon.fr
Institut Charles Sadron : ICS https://www.ics-cnrs.unistra.fr/
Institut de chimie et procédés pour l’énergie, l’environnement et la santé : ICPEES https://icpees.unistra.fr
ILM https://ilm.univ-lyon1.fr/
INRAE https://www.inrae.fr/
IRSTEA https://www.irstea.fr/fr/irstea/nos-centres/lyon-villeurbanne
LAAS https://www.laas.fr/public/
LIRIS https://liris.cnrs.fr
Mines paristech http://www.mines-paristech.fr/
Université de Toulon www.univ-tln.fr


International partners

Bologna http://www.dei.unibo.it/en/research/research-facilities/Labs/casy-center-for-research-on-complex-automated-systems
CESAME LLN https://clusters.wallonie.be/wagralim-fr/ucl-cesame.html?IDC=1730&IDD=16707
Université Catholique de Louvain https://uclouvain.be/fr/index.html
University of Genova (Italy) http://www.dime.unige.it/it
University of  Groeningen https://www.rug.nl/
University of Hyogo https://www.u-hyogo.ac.jp/index.html
University of Melbourne https://electrical.eng.unimelb.edu.au/
University Passau https://www.uni-passau.de/
Universitat Politechnica de Cataluna https://www.upc.edu/ca
Universté Technique d’Ilmenau (Allemagne) https://www.tu-ilmenau.de/
Université Technique de Munich (Allemagne) https://www.tum.de/
Tu/Eindhoven https://www.tue.nl/en/


Industry partners

Nutrition Animale Adisseo https://www.adisseo.com/
bioMérieux https://www.biomerieux.fr
CEA (Cadarache, Grenoble, Marcoule, Saclay) https://www.cea.fr/
CRES Centre de Recherches de Solaize Total https://totalenergies.com/fr
EURECAT https://www.lyon-entreprises.com/entreprise/eurecat-france/presentation-voulte-sur-rhone
IFPEN https://www.ifpenergiesnouvelles.fr/
Ingé’LySE http://www.ingelyse.com/
Saint-Gobain NorPro https://www.norpro.saint-gobain.com/
SNCF https://www.sncf.com/fr/innovation-developpement/innovation-recherche
TRTG TOTAL Research and Technology Gonfreville https://tools.cofrac.fr/fr/organismes/fiche.php?entite_id=12066439

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704 documents

  • Tanguy Simon, Mattia Giaccagli, Jean-François Trégouët, Daniele Astolfi, Vincent Andrieu, et al.. Robust Regulation of a Power Flow Controller via Nonlinear Integral Action. IEEE Transactions on Control Systems Technology, In press. ⟨hal-03920401⟩
  • Joey Reinders, Mattia Giaccagli, Bram Hunnekens, Daniele Astolfi, Tom Oomen, et al.. Repetitive control for Lur’e-type systems: application to mechanical ventilation. IEEE Transactions on Control Systems Technology, In press, ⟨10.1109/TCST.2023.3250966⟩. ⟨hal-04007192⟩
  • Mattia Giaccagli, Vincent Andrieu, Sophie Tarbouriech, Daniele Astolfi. LMI conditions for contraction, integral action, and output feedback stabilization for a class of nonlinear systems. Automatica, In press, 10 p. ⟨hal-04093784⟩
  • Daniele Astolfi, Swann Marx, Vincent Andrieu, Christophe Prieur. Global exponential set-point regulation for linear operator semigroups with input saturation. CDC 2022 – 61st IEEE Conference on Decision and Control, IEEE, Dec 2022, Cancun, Mexico. pp.7358 – 7363, ⟨10.1109/CDC51059.2022.9993082⟩. ⟨hal-04005700⟩
  • Elena Petri, Romain Postoyan, Daniele Astolfi, Dragan Nesic, Vincent Andrieu. Towards improving the estimation performance of a given nonlinear observer: a multi-observer approach. 61st IEEE Conference Decision and Control, CDC 2022, Dec 2022, Cancun, Mexico. ⟨hal-03766736⟩
  • Johan Peralez, Madiha Nadri, Daniele Astolfi. Neural Network-Based KKL observer for nonlinear discrete-time systems. 2022 IEEE 61st Conference on Decision and Control (CDC), Dec 2022, Cancun, Mexico. ⟨10.1109/CDC51059.2022.9992516⟩. ⟨hal-04005698⟩
  • Vincent Gautier, Isabelle Champon, Alban Chappaz, Isabelle Pitault. Kinetic Modeling for the Gas-Phase Hydrogenation of the LOHC γ-Butyrolactone–1,4-Butanediol on a Copper-Zinc Catalyst. Reactions, 2022, 3 (4), pp.499-515. ⟨10.3390/reactions3040033⟩. ⟨hal-03839726⟩
  • Carla Kalakech, C. Charcosset, Mathias Monnot, Denis Mangin, E. Gagnière, et al.. Continuous and intensified membrane crystallization process : quality control of an active pharmaceutical ingredient. Euromembrane, Nov 2022, Sorrento, Italy. ⟨hal-04050130⟩
  • Mattia Giaccagli, Vincent Andrieu, Sophie Tarbouriech, Daniele Astolfi. Infinite gain margin, contraction and optimality: an LMI-based design. European Journal of Control, 2022, 68, pp.100685. ⟨10.1016/j.ejcon.2022.100685⟩. ⟨hal-03704614⟩
  • Samuele Zoboli, Daniele Astolfi, Vincent Andrieu. Total stability and integral action for discrete-time nonlinear systems. 2022. ⟨hal-03801183⟩


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