Iterative Machine Learning for Output Tracking
نویسندگان
چکیده
منابع مشابه
Iterative Machine Learning for Output Tracking
This article develops iterative machine learning (IML) for output tracking. The inputoutput data generated during iterations to develop the model used in the iterative update. The main contribution of this article to propose the use of kernel-based machine learning to iteratively update both the model and the model-inversion-based input simultaneously. Additionally, augmented inputs with persis...
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ژورنال
عنوان ژورنال: IEEE Transactions on Control Systems Technology
سال: 2019
ISSN: 1063-6536,1558-0865,2374-0159
DOI: 10.1109/tcst.2017.2772807