In dynamic matrix control, the model of the plant is convolution model, i.e., the response of each output to a step change in each input is found. The values of the response at discrete sampling times then make up a series of step response coefficients which may be used to predict the change in any output associated with a change in any input , as shown in the general output prediction equations