Spécialité :


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. 


76 documents

  • 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⟩
  • Francisco González de Cossío, Madiha Nadri, Pascal Dufour. Optimal observer design for disturbed state affine systems. 2018 Annual American Control Conference (ACC), Jun 2018, Milwaukee, United States. ⟨10.23919/ACC.2018.8430762⟩. ⟨hal-01896047⟩
  • F Galuppo, Thomas Reiche, Vincent Lemort, Pascal Dufour, M. Nadri, et al.. Waste heat recovery (WHR) assessment in complete truck simulation environment. 2018 SIA POWERTRAIN conference, May 2018, Rouen, France. ⟨hal-02058066⟩
  • Johan Peralez, Madiha Nadri, Pascal Dufour, Paolino Tona, Antonio Sciarretta. Organic Rankine Cycle for Vehicles: Control Design and Experimental Results. IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers, 2017, 25 (3), pp.952 - 965. ⟨10.1109/TCST.2016.2574760⟩. ⟨hal-01443948⟩
  • Chouaib Afri, Vincent Andrieu, Laurent Bako, Pascal Dufour. State and parameter estimation: a nonlinear Luenberger observer approach. IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 2017, 62 (2), pp.973-980. ⟨10.1109/TAC.2016.2566804⟩. ⟨hal-01232747v2⟩
  • Jun Qian, Madiha Nadri, Pascal Dufour. Optimal input design for parameter estimation of nonlinear systems: case study of an unstable delta wing. International Journal of Control, Taylor & Francis, 2017, 90 (4), pp.873-887. ⟨10.1080/00207179.2016.1225990⟩. ⟨hal-01518400⟩
  • Vincent Grelet, Thomas Reiche, Vincent Lemort, Madiha Nadri, Pascal Dufour. Transient performance evaluation of waste heat recovery rankine cycle based system for heavyduty trucks. Applied Energy, Elsevier, 2016, 165 (1), pp.878-892. ⟨10.1016/j.apenergy.2015.11.004⟩. ⟨hal-01265044⟩
  • Chouaib Afri, Laurent Bako, Vincent Andrieu, Pascal Dufour. Adaptive identification of continuous time MIMO state-space models. 54th IEEE CDC, Dec 2015, Osaka, Japan. pp.5677-5682, ⟨10.1109/CDC.2015.7403110⟩. ⟨hal-01265057⟩