Adaptive deadband control of a drifting process with unknown parameters |
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Affiliation: | Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802, USA |
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Abstract: | Adjusting a drifting process to minimize the expected sum of quadratic off-target and fixed adjustment costs is considered under unknown process parameters. A Bayesian approach based on sequential Monte Carlo methods is presented. The benefits of the resulting “deadband” adjustment policy are studied. |
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