Moving horizon simultaneous estimation of process gain and disturbances for an oxygen converter gas recovery process model
Shiro Masuda, Akira Fujimori, Hideyuki Nishida, Chikashi Nakazawa, Tetsuro Matsui, Yoshikazu Fukuyama
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.