DUFOUR Pascal

Spécialité :

automatique

Compétences :

Automatique des systèmes continus, commande prédictive, identification, estimation, commande de procédés.

Bureau : G322

Téléphone : 04 72 43 18 78

Biographie :

FR : En recherche, je m’intéresse aux développements et aux applications d’outils théoriques de commande et d’identification paramétrique (notamment avec commande prédictive et observateur), et de logiciels fortement liés à des problèmes réels issus du génie des procédés. Ceci notamment dans des applications liées à des transferts de matière et de chaleur : séchage, lyophilisation, thermique, réaction catalytique, récupération d’énergie à bord de véhicules.

EN : Concerning my research activities, I am interested in the developments and the applications of theoretical tools for control and parametric identification (based on model based predictive control and observer), and of software hardly dealing with problems in chemical engineering, especially for applications dealing with heat and mater transfer: drying, lyophilisation, thermal, catalysis reaction, waste heat recovery. 

EMail

82 documents

  • Pascal Dufour, Boussad Hamroun, Isabelle Pitault, Jean-Pierre Valour. DADY : Démonstrateur d'Automatique et de DYnamique. 6èmes journées des Démonstrateurs en Automatique, Jun 2022, Angers, France. . ⟨hal-03839822⟩
  • Edouard Breniaux, Pascal Dufour, Sophie Guillemet-Fritsch, Christophe Tenailleau. Unraveling All‐Inorganic CsPbI 3 and CsPbI 2 Br Perovskite Thin Films Formation – Black Phase Stabilization by Cs 2 PbCl 2 I 2 Addition and Flash‐Annealing. European Journal of Inorganic Chemistry, 2021, 2021 (30), pp.3059-3073. ⟨10.1002/ejic.202100304⟩. ⟨hal-03851384⟩
  • Francesco Galuppo, Thomas Reiche, Vincent Lemort, P Dufour, Madiha Nadri. Organic Rankine Cycle based waste heat recovery modeling and control of the low pressure side using direct condensation and dedicated fans. Energy, 2021, 216, pp.119074. ⟨10.1016/j.energy.2020.119074⟩. ⟨hal-03401098⟩
  • Johan Peralez, Francesco Galuppo, Pascal Dufour, Christian Wolf, Madiha Nadri. Data-driven multi-model control for a waste heat recovery system. 2020 59th IEEE Conference on Decision and Control (CDC), Dec 2020, Jeju (virtual), South Korea. pp.5501-5506, ⟨10.1109/cdc42340.2020.9304418⟩. ⟨hal-03401232⟩
  • Francisco González de Cossío, Madiha Nadri, P Dufour. Observer Design for Nonlinear Systems With Output Transformation. IEEE Transactions on Automatic Control, 2020, 65 (12), pp.5205 - 5219. ⟨10.1109/tac.2020.2971934⟩. ⟨hal-03401114⟩
  • Francesco Galuppo, Vincent Lemort, Madiha Nadri, Pascal Dufour, Thomas Reiche. Assessment of rankine waste heat recovery potential on heavy duty trucks using direct condensation. 5th International Seminar on ORC Power Systems, Sep 2019, athens, Greece. ⟨hal-03401193⟩
  • Francesco Galuppo, Madiha Nadri, Pascal Dufour, Thomas Reiche, Vincent Lemort. Evaluation of a Coupled Organic Rankine Cycle Mild Hybrid Architecture for Long-Haul Heavy-Duty Truck. 9th IFAC Symposium on Advances in Automotive Control (AAC), Jun 2019, orleans, France. pp.478 - 483, ⟨10.1016/j.ifacol.2019.09.076⟩. ⟨hal-03401142⟩
  • Francisco González de Cossío, Madiha Nadri, Pascal Dufour. Observer Design for Nonlinear Systems with Implicit Output. 2018 IEEE Conference on Decision and Control (CDC), Dec 2018, FL, United States. pp.2170-2175, ⟨10.1109/CDC.2018.8619171⟩. ⟨hal-02058052⟩
  • Francesco Galuppo, P Dufour, Madiha Nadri, Thomas Reiche, Vincent Lemort. Experiment Design for Waste Heat Recovery Modeling in Heavy Duty Trucks. IFAC ECOSM, Sep 2018, Changchun, China. pp.726-731, ⟨10.1016/j.ifacol.2018.10.165⟩. ⟨hal-02058060⟩
  • Bertrand Dechesne, Vincent Lemort, Madiha Nadri, Pascal Dufour. Impact of suction and injection gas superheat degrees on the performance of a residential heat pump with vapor injection and variable speed scroll compressor. 17th International Refrigeration and Air Conditioning Conference at Purdue, Jul 2018, Pudue, United States. ⟨hal-01896056⟩

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