Supply chain transformation based on business process management
Qinhua Wang, Changrui Ren, et al.
SOLI 2009
Based on a linear time-varying perturbation (LTVP) model, an integrated control strategy is proposed to track product quality trajectories of batch processes. To address the problem of model uncertainties occurring from batch to batch, the LTVP model is updated by using recursive discounted measurements (RDM) algorithm from the process operational data. Then batch-to-batch iterative learning control (ILC) can be feasibly combined with on-line model predictive control (MPC) within a batch. The integrated strategy can complement both methods to obtain good performance of tracking control. The proposed strategy is illustrated on a simulated batch polymerization reactor, and the results demonstrate that the performance of tracking product qualities can be improved under the proposed strategy when model uncertainties exist. © 2011 IFAC.
Qinhua Wang, Changrui Ren, et al.
SOLI 2009
Jinfeng Li, Fei Liu, et al.
SOLI 2012
Zhihua Xiong, Yixin Xu, et al.
International Journal of Modelling, Identification and Control
Miao He, Changrui Ren, et al.
SOLI 2011