Non-Iterative Data-Driven Tuning of Model-Free Control Based on an Ultra-Local Model
نویسندگان
چکیده
In this paper, we present a data-driven tuning method for model-free control based on an ultra-local model (MFC-ULM), which is also called intelligent proportional-integral-derivative control. industries, the design must be easy, and it important that law can applied to nonlinear systems. The MFC-ULM has most of these features. However, in practice, trial-and-error parameters necessary. To address problem, adopt approach. proposed method, tuned from single-experiment data without requiring system identification, optimal are obtained using least-squares method. Additionally, L2-norm regularization avoid overlearning. effectiveness was examined simulations two results revealed directly knowing characteristics controlled object.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2022
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3188713