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Träfflista för sökning "WFRF:(Foslien W.) "

Search: WFRF:(Foslien W.)

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1.
  • Braun, M.W., et al. (author)
  • Multi-Level Pseudo-Random Signal Design and 'Model-on-Demand' Estimation Applied to Nonlinear Identification of a RTP Wafer Reactor
  • 1999
  • In: Preceedings of the 1999 American Control Conference. - Linköping : Linköping University Electronic Press. - 0780349903 ; , s. 1573-1579 vol.3
  • Reports (other academic/artistic)abstract
    • Guidelines are presented for specifying the design parameters of multi-level pseudo-random sequences in a manner useful for “plant-friendly” nonlinear system identification. These multi-level signals are introduced into a rapid thermal processing wafer reactor simulation and compared against a well-designed pseudo-random binary sequence (PRBS). The resulting data serves as a database for a “model on demand” (MoD) predictor. MoD estimation is attractive because it requires less engineering effort to model a nonlinear plant, compared to global nonlinear models such as neural networks. The improved fit of multi-level signals over the PRBS signal, as well as the usefulness of the MoD estimator, is demonstrated on validation data.
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2.
  • Stenman, Anders, et al. (author)
  • Comparison of Global Nonlinear Models and "Model-on-Demand" Estimation Applied to Identification of a RTP Wafer Reactor
  • 1999
  • In: Preceedings of the 38th IEEE Conference on Decision and Control. - Linköping : Linköping University Electronic Press. - 0780352505 ; , s. 3950-3955 vol.4
  • Conference paper (peer-reviewed)abstract
    • "Model on Demand" (MoD) simulation of the temperature dynamics in a simulated Rapid Thermal Process-ing (RTP) reactor is compared against various types of global models (ARX, semiphysical, combined semiphysical with neural net). The identication data is generated from a m-level pseudo-random sequence input whose parameters are specied systematically using a priori information readily available to the engineer. The MoD estimator outperforms the ARX model and two semi-physical models, while matching the performance of a combined semi-physical with neural net model. This makes MoD estimation an appealing alternative to global methods because of its reduced engineering eort and simplified a priori knowledge regarding model structure.
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  • Result 1-2 of 2
Type of publication
reports (1)
conference paper (1)
Type of content
other academic/artistic (1)
peer-reviewed (1)
Author/Editor
Stenman, Anders (2)
Foslien, W. (2)
Braun, Martin W. (1)
Rivera, Daniel E. (1)
Braun, M.W. (1)
Rivera, D.E. (1)
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Hrenya, C. (1)
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University
Linköping University (2)
Language
English (2)
Research subject (UKÄ/SCB)
Engineering and Technology (2)
Year
1999 (2)

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