Semi-intrusive multivariable model invalidation |
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Authors: | Leonardo C Kammer [Author Vitae] Dimitry Gorinevsky [Author Vitae] [Author Vitae] |
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Affiliation: | a Pulp and Paper Centre, University of British Columbia, 2385 East Mall, Vancouver, BC, Canada V6T 1Z4 b Honeywell Global Control Laboratory, One Results Way, Cupertino, CA 95014, USA |
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Abstract: | This paper introduces a mechanism for testing multivariable models employed by model-based controllers. Although external excitation is not necessary, the data collection includes a stage where the controller is switched to open-loop operation (manual mode). The main idea is to measure a certain “distance” between the closed-loop and the open-loop signals, and then trigger a flag if this “distance” is larger than a threshold level. Moreover, a provision is made for accommodating model uncertainty. Since no hard bounds are assumed with respect to the noise amplitude, the model invalidation mechanism works in a probabilistic framework. |
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Keywords: | Model invalidation Performance monitoring Model-based control Multivariable control systems Stochastic noise Model uncertainty |
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