Design of an adaptive predictive controller for a continuous stirred tank reactor

An adaptive predictive controller has been designed in this paper. The model predictive controller design is based on the linear model and by employing adaptation mechanism; it can be applied to the nonlinear systems. Identification of the linear model parameters in each sample time from a recursive least square method is the suggested technique for adaptation. This method is applied to a CSTR1 as a nonlinear MIMO system with considering measurable disturbances. Simulations are performed for normal operating condition and a case in which system is caused with disturbance.