Application of digital filtering and adaptive control of a non-stationary process
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The practical implementation of a control process to control the blood sugar level of a dog is discussed. The problem was to maintain the blood sugar level of a dog at the dog's fasting level inspite of a disturbance due to a constant infusion of insulin. The process control consists of two parts; an identification system used to estimate the process parameters, and an adaptive control strategy to control the process based on the estimated parameters. The identification system used was ordinary least squares, and the control strategy was proportional-integral derivative control. The effects of filtering on the above control strategy was also examined. Simulation results as well as results of on-line experiments are presented.
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Copyright © 1976 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 1976
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