Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model

@article{Di2008NonlinearPM,
  title={Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model},
  author={Liqing Di and Zhihua Xiong and XianHui Yang},
  journal={2008 Winter Simulation Conference},
  year={2008},
  pages={1645-1651}
}
MKPLS (Multiway Kernel Partial Least Squares) methods are used to model the batch processes from process operational data. To improve the optimization performance, a batch-to-batch optimization strategy is proposed based on the idea of the similarity between the iterations during numerical optimization and successive batch runs. SQP (Sequential Quadratic Programming) coupling with MKPLS model is used to solve the optimization problem, and the plant data, instead of the MKPLS model predictions… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-3 of 3 references

A novel multivariate regression approach based on kernel partial least squares with orthogonal signal correction

  • K. Kim, J. Lee, I. Lee.
  • Chemometrics and Intelligent laboratory Systems…
  • 2005
Highly Influential
15 Excerpts

Batch-tobatch optimization using neural network models

  • D. Dong, T. J. McAvoy, E. Zafiriou.
  • Ind. Eng. Chem. Res. 35: 2269-2276
  • 1996
Highly Influential
3 Excerpts

Similar Papers

Loading similar papers…