Design of a Data-Driven Multi PID Controllers using Ensemble Learning and VRFT

Data-driven control has been proposed for directly calculating control parameters using experimental data. Specifically, the Virtual Reference Feedback Tuning (VRFT) has been proposed for linear time-invariant systems. In the field of machine learning, the ensemble learning was proposed to improve t...

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Bibliographic Details
Main Authors: Takuya Kinoshita, Yuma Morota, Toru Yamamoto
Format: Article
Language:English
Published: Atlantis Press 2020-05-01
Series:Journal of Robotics, Networking and Artificial Life (JRNAL)
Subjects:
Online Access:https://www.atlantis-press.com/article/125940595/view