Assessing Model Prediction Control (MPC) Performance. 1. Probabilistic Approach for Constraint Analysis-Reference-Cited by-同舟云学术

Assessing Model Prediction Control (MPC) Performance. 1. Probabilistic Approach for Constraint Analysis

Published:2007-11-01 Issue:24 Volume:46 Page:8101-8111
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Agarwal Nikhil¹,Huang Biao¹,Tamayo Edgar C.²

Affiliation:

1. Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada, T6G 2G6

2. Syncrude Canada Ltd., Fort McMurray, Alberta, Canada, T9H 3L1

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie070417e

Reference21 articles.

1. Bars, R.; Haber, R. Predictive control applied for linear and nonlinear plants. Technical Report, Budapest University of Technology and Economics, Budapest, Hungary, 2006.

2. Berghen, F. V. CONDORA constrained, non-linear, derivative-free parallel optimizer for continuous, high computing load, noisy objective functions, Ph.D. Thesis, Free University of Brussels, Belgium, 2004.

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