According to the dynamic behavior of reactor-heat exchanger networks featuring multi-time scales

two sub models were derived respectively in two time scales using the method of singular perturbation modeling: a model about energy balance in fast time scale

and a model about material balance in slow time scale.By taking into account the nonlinear behavior

the disturbances in kinetic parameters and the noise existing in reactor-heat exchanger networks

a composite control strategy was proposed consisting of a multi-model dynamic matrix controller in slow time scale and a PI controller in fast time scale.Simulation results demonstrated better performance of disturbance and noise rejection of the proposed control strategy over that of the control strategy consisting of a dynamic output feedback controller in slow time scale and a PI controller in fast time scale.