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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
Institut de Chimie de Lyon: ICL
Institut Charles Sadron : ICS
Institut de chimie et procédés pour l’énergie, l’environnement et la santé : ICPEES
Mines paristech
Université de Toulon


International partners

Université Catholique de Louvain
University of Genova (Italy)
University of  Groeningen
University of Hyogo
University of Melbourne
University Passau
Universitat Politechnica de Cataluna
Universté Technique d’Ilmenau (Allemagne)
Université Technique de Munich (Allemagne)


Industry partners

Nutrition Animale Adisseo
CEA (Cadarache, Grenoble, Marcoule, Saclay)
CRES Centre de Recherches de Solaize Total
Saint-Gobain NorPro
TRTG TOTAL Research and Technology Gonfreville

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    Année de production




    Équipes de recherche

    689 documents

    • Samuele Zoboli, Vincent Andrieu, Daniele Astolfi, Giacomo Casadei, Jilles S Dibangoye, et al.. Reinforcement Learning Policies With Local LQR Guarantees For Nonlinear Discrete-Time Systems. CDC, Dec 2021, Texas, United States. ⟨10.1109/CDC45484.2021.9683721⟩. ⟨hal-03353584⟩
    • Elena Petri, Romain Postoyan, Daniele Astolfi, Dragan Nesic, Maurice P. M. H. Heemels. Event-triggered observer design for linear systems. 60th IEEE Conference on Decision and Control, CDC 2021, Dec 2021, Austin, United States. ⟨hal-03436854⟩
    • Pauline Bernard, Vincent Andrieu. Remarks about the numerical inversion of injective nonlinear maps. IEEE Conference on Decision and Control, Dec 2021, Austin, United States. ⟨hal-03548305⟩
    • Mickael Rodrigues, Habib Hamdi, Didier Theilliol. Chapter 2: Linear parameter varying methods. Viçenc Puig and Silvio Simani. Diagnosis and Fault-Tolerant Control 2: From Fault Diagnosis to Fault-Tolerant Control, John Wiley & Sons, Inc., pp.57-83, 2021, 9781789450590. ⟨hal-03468474⟩
    • Weijun Zhou, Boussad Hamroun, Yann Le Gorrec, Françoise Couenne. A thermodynamic approach to the stabilization of tubular reactors. Journal of Process Control, Elsevier, 2021, 108, pp.98-111. ⟨10.1016/j.jprocont.2021.11.006⟩. ⟨hal-03845188⟩
    • Nathan Chassin, Claire Valentin, J.M. Choubert, Françoise Couenne, Christian Jallut. How to improve modeling of urban sludge settling. 2021. ⟨hal-03425677⟩
    • Lucas Brivadis, Jean-Paul Gauthier, Ludovic Sacchelli, Ulysse Serres. New perspectives on output feedback stabilization at an unobservable target. ESAIM: Control, Optimisation and Calculus of Variations, EDP Sciences, 2021, 27 (2021) (102), ⟨10.1051/cocv/2021097⟩. ⟨hal-03021663v2⟩
    • Aboubacar Djibo Soumana, Maxime Poulleau, Marie-Line Zanota, Bernhard Maschke, Isabelle Pitault. Modelling of heat conduction in granular porous media. 15ème Journée d’Etudes sur les Milieux Poreux (JEMP2021), Oct 2021, Strasbourg, France. ⟨hal-03839921⟩
    • Mattia Giaccagli, Vincent Andrieu, Daniele Astolfi, Giacomo Casadei. Sufficient metric conditions for synchronization of leader-connected homogeneous nonlinear multi-agent systems. MICNON, Sep 2021, Tokyo (virtual), Japan. ⟨10.1016/j.ifacol.2021.10.389⟩. ⟨hal-03351594⟩
    • Daniele Astolfi. Output-feedback repetitive control for minimum-phase nonlinear systems with arbitrarily relative degree. Third IFAC Conference on Modelling, Identification and Control of Nonlinear Systems MICNON 2021, Sep 2021, Tokyo (virtual), Japan. ⟨hal-03351596⟩


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