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- W140159944 abstract "Robust parameter design (RPD) has been widely used as a cost-effective tool in quality control to reduce variability, in which the controllable factors are set to minimize the variability of response variables due to noise factors, assuming their distributions are known. It is essentially an off-line tool without considering that some noise factors can be measured on-line. Recently, the concept of DOE-based automatic process control has been proposed for on-line process control based on regression models obtained from DOE and with consideration of the on-line measurement of noise factors. The existing literature investigates the DOE-based APC with assumption that both regression models and the on-line noise measurement are precisely known, which limits the applicability of the technique. This paper develops the DOE-based APC scheme that considers both the observation and the modeling uncertainties. The controller is implemented under two APC strategies, i.e. cautious control strategy and certainty equivalence control strategy. The comparison among on-line APC and off-line robust design approaches demonstrates that automatic controller with consideration of both uncertainties can achieve better process performance than conventional off-line design, and is more stable than normal DOE-based APC controllers. The proposed approach is illustrated using an industrial process." @default.
- W140159944 created "2016-06-24" @default.
- W140159944 creator A5042115176 @default.
- W140159944 date "2009-01-01" @default.
- W140159944 modified "2023-09-27" @default.
- W140159944 title "Manufacturing system variation reduction through feed -forward control considering model uncertainties" @default.
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