Iterative learning predictive fault-tolerant control for nonlinear batch processes via dynamic output feedback approach
Transactions of the Institute of Measurement and Control
Published online on November 17, 2025
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
For batch processes with unmeasurable states, previous iterative learning control methods compute the control gains offline, which leads to constant control law gains. Due to the lack of sufficient historical batch control input data in the initial ...
For batch processes with unmeasurable states, previous iterative learning control methods compute the control gains offline, which leads to constant control law gains. Due to the lack of sufficient historical batch control input data in the initial ...