Applying simulation in a supply chain transformation case
Hongwei Ding, Changrui Ren, et al.
WSC 2006
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.
Hongwei Ding, Changrui Ren, et al.
WSC 2006
Tao Qin, Miao He, et al.
SOLI 2012
Xuan Chen, Hao Ji, et al.
SOLI 2014
Hao Ji, Jinfeng Li, et al.
SOLI 2013