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Updated: Aug 18, 2026

Temperature-Controlled Assembly and Characterization of a Droplet Interface Bilayer
Published on: April 19, 2021
Online optimization of fuzzy-PID control of a thermal process
S E Mansour1, G C Kember, R Dubay
1Department of Engineering Mathematics, Internetworking-Dalhousie University, PO Box 1000, Halifax, NS, Canada, B3J 2X4.
Abstract:
A constrained optimization of a simple fuzzy-PID (PID-proportional integral derivative) system is designed for the online improvement of PID control performance during productive control runs. The cost function design yields a desirable balance between rise time, setpoint overshoot, and settling time to the setpoint. The constraints determined by simulation yield control performance no worse than the existing control performance during online optimization. The optimized fuzzy-PID system is compared to a similarly optimized PID controller and a benchmark model predictive controller.
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