Adaptive Controller Tunning by Kalman Filter for Advanced application to a Fermentation Process
نویسندگان
چکیده
The present work proposes a control parameter adjustment technique using Kalman filter applied to an adaptive control strategy. The control algorithm is based on neural networks with on-line learning to compute the next action of the manipulated process variables. The penalization parameters of the control actions are on-line optimised by the Kalman filter. The control strategy was tested on an extractive alcoholic fermentation process and the results showed the great potential for successful application.
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