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Communication Dans Un Congrès Année : 1998

A nonlinear distributed parameter process control: An internal linearized model control approach

Résumé

This paper deals with the nonlinear distributed parameter process control. The aim is to realize a predictive type control that minimize an optimization criterion under some constraints. The well-known internal model control (IMC) structure is used to make the predictive control strategy where the internal model is a time-varying linearized model around a tracking trajectory. This nonlinear distributed parameter system control is developped and presented through a practical distributed control application : an infrared drying process control.
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Dates et versions

hal-00353142 , version 1 (14-01-2009)
hal-00353142 , version 2 (22-01-2009)

Identifiants

  • HAL Id : hal-00353142 , version 2

Citer

Pascal Dufour, Youssoufi Touré, Pierre Laurent. A nonlinear distributed parameter process control: An internal linearized model control approach. IMACS-IEEE Computational Engineering in Systems Applications (CESA) Multiconference, Apr 1998, Hammamet, Tunisia. pp. 134-138. ⟨hal-00353142v2⟩
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