MOVING HORIZON SIMULTANEOUS ESTIMATION OF PROCESS GAIN AND DISTURBANCES FOR AN OXYGEN CONVERTER GAS RECOVERY PROCESS MODEL

This paper proposes a moving horizon simultaneous estimation of process gain and disturbances for discrete-time linear systems with unknown process gain so as to minimize a moving-horizon performance index. The proposed method uses discrete-time Euler-Lagrange equations in order to derive the proposed adaptive disturbance estimator. A numerical simulation for an oxygen converter gas recovery process shows the efficiency of the proposed method.