Optimal Implementation of On-Line Optimization

  title={Optimal Implementation of On-Line Optimization},
  author={Jack R. Hopper and Xueyu Chen and Ralph W. Pike and Thomas A. Hertwig},
Results from a theoretical and numerical evaluation of on-line optimization algorithms were used to recommend the best way to conduct on-line optimization. This optimal procedure conducts combined gross error detection and data reconciliation to detect and rectify gross errors in plant data sampled from the distributed control system. The Tjoa-Biegler method (the contaminated Gaussian distribution) was used for gross errors in the range of 3σ 30σ or the robust method (Lorentzian distribution… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 15 references

Data Reconciliation and Gross Error Detection for Dynamic System,

  • J. S. Albuquerque, L. T. Biegler
  • AIChE Journal Vol
  • 1996
Highly Influential
8 Excerpts

Simultaneous Strategies for Data Reconciliation and Gross Error Detection of Nonlinear Systems,

  • I. B. Tjoa, L. T. Biegler
  • 1991
Highly Influential
5 Excerpts

An Evaluation of Applicability

  • M. J. Richard
  • 1987
Highly Influential
5 Excerpts

Inference in Dynamic Error-in-Variable

  • J. S. Albuquerque, L. T. Biegler, R. E. Kass
  • 1997

Robust Data Reconciliation and Gross Error Detection: the Modified MIMT Using NLP,

  • Kim, I-W, M. S. Kang, S. Park, T. F. Edgar
  • 1997

A Comparison of GAMS, AMPL and MINOS for Optimization,

  • X. Chen, K. S. Rao, J. Yu, R. W. Pike
  • 1996

Implementation of a Closed Loop Real - Time Optimization System on a Large Scale Ethylene Plant

  • T. F. Edgar
  • 1996

Maximum Likelihood Data Rectification

  • L.P.M. Johnson, M. A. Kramer
  • 1995

Maximum Likelihood Data Rectification : Steady - State Systems

  • D. N. Kelly, F. C. Fatora, S. L. Davenport
  • AIChE Journal
  • 1995

Decomposition Algorithms for On-Line

  • J. S. Albuquerque, L.T
  • Biegler,
  • 1993

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