The main purpose of this research is to implement a multivariate feedback adjustment proportional to the last deviation in relation to the target of the variables that wandering around the target. In order to apply the controller equation it will be necessary to study the exponentially weighted moving average statistics, so that the target disturbances behavior is determined. In order to determine the future values of the variables seemingly unrelated regression is used, once there is a relation among the variables and among the errors of the estimated equations. To apply this methodology, a tunnel oven to burn tile was used, so this way a multivariate feedback adjustment can be reached in a scientific way, controlling the oven temperature.
Multivariate feedback control; seemingly unrelated regression; engineering process control
