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PID autotuner design using machine learning

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2 Author(s)
Zhou, G. ; Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA ; Birdwell, J.D.

A method using machine learning to automatically produce controller tuning algorithms is described. The method constitutes a decision tree which selects from a set of tuning rules the rule which is best able to improve controller characteristics. The decision tree is constructed using a training set of example systems. Evaluations of the resulting tuning algorithm are performed using a large independently generated set of example systems

Published in:

Computer-Aided Control System Design, 1992. (CACSD), 1992 IEEE Symposium on

Date of Conference:

17-19 Mar 1992

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