Non Linear Systems and Process

SNLEP

Scientific expertises:

Automatic, Nonlinear Systems, Observability and Observer Design, Control and Stabilization

 

The research topic of the SNLEP team concerns the theorical development and implementation of tools devoted to: Analyze, Model, Simulate, Control and Optimize Systems in Process Engineering.

Our theoretical developments are motivated by practical applications encountered through collaborations with industrial and academic partners. More specifically, our work focuses on model design and reduction, parametric identification and observation, diagnosis and control.

  • The Modeling concerns polymerization crystallization freeze and bio- processes. We exploit mainly heat balance and matter conservation law, heat and matter diffusion, mass transfer between phases and population balance in particulate processes to develop models suitable for simulation, observation and control.
  • Identification exploits tools coming from model predictive control and refers to experimental design in order to facilitate online parameter identification.
  • The observation topic refers to the design of algorithm to estimate online parameters and unknown quantities of the model.
  • Fault diagnosis refers to the detection of fault which is an unpermitted deviation of at least one characteristic property of the process from the acceptable, usual, standard condition.
  • The control topic focuses on the stabilization problem for finite and infinite dimensional systems, the tracking and control problem using optimization tools.

The chemical processes mainly concerned by the SNLEP team are polymerization processes, crystallization processes and drying processes.

 

 

 Director of SNLEP: Hassan Hammouri

 

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246 documents

  • Pascal Dufour, Pierre Laurent, Cheng-Zhong Xu. Model predictive control of the water based painting drying using a humidity profile soft Sensor and a temperature measurement. International Drying Symposium (IDS), Aug 2004, Sao Paulo, Brazil. pp. 911-918. ⟨hal-00353084v2⟩
  • Pascal Dufour, Pierre Laurent, Cheng-Zhong Xu. Observer based model predictive control of the water based painting drying using a humidity profile soft sensor and a temperature measurement. International Workshop and Symposium on Industrial Drying (IWSID), Aug 2004, Mumbai, India. paper SY152. ⟨hal-00353098v2⟩
  • F. Freire, T. Mckenna, Sami Othman, R. Giudici. A new approach to the joined estimation of the heat generated by a semicontiunuous emulsion polymerization Qr and the overall heat exchange parameter UA. Brazilian Journal of Chemical Engineering, Brazilian Society of Chemical Engineering, 2004, 21 (2), pp.293 – 305. ⟨10.1590/S0104-66322004000200020⟩. ⟨hal-01902707⟩
  • T. Boumegoura, J. Marques, Hamed Yahoui, Guy Clerc, Hassan Hammouri. Rotor induction machine failure: Analysis and diagnosis. European Transactions on Electrical Power, Wiley, 2004, 14 (2), pp.71-84. ⟨10.1002/etep.6⟩. ⟨hal-00140572⟩
  • Pascal Dufour, Denise Blanc, Youssoufi Touré, Pierre Laurent. Infrared drying process of an experimental water painting: Model predictive control. Drying Technology, Taylor & Francis, 2004, 22 (1-2), pp.269-284. ⟨10.1081/DRT-120028233⟩. ⟨hal-00352372v2⟩
  • Nida Sheibat-Othman, Dominique Peycelon, Jean-Bernard Egraz, Jean-Marc Suau, Gilles Fevotte. Control of the polymer molecular weight using near infrared spectroscopy. AIChE Journal, Wiley, 2004, 50 (3), pp.654-664. ⟨hal-00366381⟩
  • Estelle Courtial, Pascal Dufour, Youssoufi Touré. Commande prédictive non linéaire sous contraintes : une condition de faisabilité. e-STA Sciences et Technologies de l’Automatique, SEE – Société de l’Electricité, de l’Electronique et des Technologies de l’Information et de la Communication 2004, 1 (4), pp.ISSN: 1954-3522. ⟨hal-00352333v2⟩
  • Nida Sheibat-Othman, Gilles Fevotte, Timothy Mckenna. Biobjective control of emulsion polymerizations: control of the polymer composition and the concentration of monomer in the polymer particles. Chemical Engineering Journal, Elsevier, 2004, 98 (1-2), pp.69-79. ⟨hal-00358753⟩
  • Pascal Dufour, Youssoufi Touré, Dennis J Michaud, Prasad S. Dhurjati. A partial differential equation model predictive control strategy: Application to autoclave composite processing. Computers & Chemical Engineering, Elsevier, 2004, 28 (4), pp.545-556. ⟨10.1016/j.compchemeng.2003.08.007⟩. ⟨hal-00351748v2⟩
  • Nida Sheibat-Othman, Dominique Peycelon, Gilles Févotte. Monitoring and Control of Free-Radical Polymerizations Using Near-Infrared Spectroscopy. Industrial and engineering chemistry research, American Chemical Society, 2004, 43, pp.7383-7391. ⟨hal-00358750⟩

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