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This work presents a data-driven adaptive controller with an online optimization. The proposed algorithm computes a real-time controller parameter vector for a PID controller structure using only plant input-output measurement data. The controller can be adapted by the algorithm to handle a change of set-points with a minimum knowledge about a plant. Finally, we demonstrate the performance of the algorithm using a pH neutralization process with an adaptation of PID controllers.
Keywords: Data-driven Control; Adaptive Control; Unfalsified Control; Online Optimization; Automatic PID Controller Tuning; pH Neutralization Process