Green Innovation by Data-driven Control
Author:
Affiliation:
1. Graduate School of Engineering, University of Hyogo
2. Faculty of Engineering, Hiroshima University
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
https://www.jstage.jst.go.jp/article/ieejeiss/137/1/137_2/_pdf
Reference30 articles.
1. (1) M. C. Campi, A. Lecchini, and S. M. Savaresi: “Virtual Reference Feedback Tuning (VRFT): a direct method for the design of feedback controllers”, Automatica, Vol. 38, pp. 1337-1346 (2002)
2. (2) S. Soma, O. Kaneko, and T. Fujii: “A New Approach to Parameter Tuning of Controllers by Using One-Shot Experimental Data-A Proposal of Fictitious Reference Iterative Tuning”, Trans. of the Institute of Systems, Control and Information Engineers, Vol. 17, No. 12, pp. 528-536 (2004) (In Japanese)
3. (3) A. Karimi, K. V. Heusden, and D. Bonvin: “Noniterative Data-driven Controller Tuning Using the Correlation Approach”, Proc. of European Control Conference, pp. 5189-5195 (2007)
4. (4) S. Masuda: “On the Research Project of a Direct Control Parameter Tuning for Disturbance Attenuation Based on Variance Evaluation”, The papers of Technical Meeting on Control, IEE Japan, CT-13-066, pp. 45-46 (2013) (in Japanese)
5. (5) H. Matsumoto, K. Yubai, D. Yashiro, and J. Hirai: “Data-driven Controller Tuning Method Based on TS4SID Method”, The papers of Technical Meeting on Control, IEE Japan, CT-15-053, pp. 1-6 (2015) (in Japanese)
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