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Nonlinear process modeling and optimization based on multiway kernel partial least squares model

Published: 07 December 2008 Publication History

Abstract

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, are used in gradient calculation. The proposed strategy is illustrated on a simulated bulk polymerization of styrene. The results demonstrate that the optimization performance has been improved in spite of the model-plant mismatches.

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  • (2012)Human age estimation using ranking SVMProceedings of the 7th Chinese conference on Biometric Recognition10.1007/978-3-642-35136-5_39(324-331)Online publication date: 4-Dec-2012
  1. Nonlinear process modeling and optimization based on multiway kernel partial least squares model

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      cover image ACM Conferences
      WSC '08: Proceedings of the 40th Conference on Winter Simulation
      December 2008
      3189 pages
      ISBN:9781424427086

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      • IIE: Institute of Industrial Engineers
      • INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
      • ASA: American Statistical Association
      • IEEE/SMC: Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
      • SIGSIM: ACM Special Interest Group on Simulation and Modeling
      • NIST: National Institute of Standards and Technology
      • (SCS): The Society for Modeling and Simulation International

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      Published: 07 December 2008

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      • INFORMS-SIM
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      • NIST
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      WSC08: Winter Simulation Conference
      December 7 - 10, 2008
      Florida, Miami

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      WSC '08 Paper Acceptance Rate 249 of 304 submissions, 82%;
      Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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      • (2012)Human age estimation using ranking SVMProceedings of the 7th Chinese conference on Biometric Recognition10.1007/978-3-642-35136-5_39(324-331)Online publication date: 4-Dec-2012

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