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

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.