Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
The Active Search Algorithm to Automate the Adjustment of the Control Parameters and Its Applications
Akio NodaHikaru NaganoYukiyasu DomaeTatsuya NagataniKen-ichi Tanaka
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2016 Volume 29 Issue 2 Pages 65-75


In the optimization task of the control parameters of some industrial processes, it is necessary to explore unknown response landscape of the system by performing plural sampling of the output for input parameter combination of the system. Skilled operators has been conducting such tasks based on their experience and knowledge. In this study, the authors had formulated this problem as a machine learning process, and had developed an algorithm that sequentially selects quasi-optimal next sampling. Experimental results discovered a case that the algorithm can reduce the control parameter optimization task which requires 3 months duration into about 1 week.

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© 2016 The Institute of Systems, Control and Information Engineers
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