Referenced Items are not available for this document.
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
- Page(s):
- 173 - 179
- Meeting Date :
- 17 Mar 1992-19 Mar 1992
- INSPEC Accession Number:
- 4595552
- Conference Location :
- Napa, CA
- Digital Object Identifier :
- 10.1109/CACSD.1992.274411
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