Deep DeePC: data-enabled predictive control with low or no online optimization using deep learning

Deep DeePC: data-enabled predictive control with low or no online optimization using deep learning

Data-enabled predictive control (DeePC) is a data-driven control algorithm that utilizes data matrices to form a non-parametric representation of the underlying system, predicting future behaviors and generating optimal control actions. DeePC typically requires solving an online optimization problem...

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Bibliographic Details
Main Authors: Zhang, Xuewen, Zhang, Kaixiang, Li, Zhaojian, Yin, Xunyuan
Other Authors: School of Chemistry, Chemical Engineering and Biotechnology
Format: Article
Language:English
Published: 2025
Subjects:
Engineering
Computationally efficient controller
Data-driven control
Online Access:https://hdl.handle.net/10356/182577
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Institution: Nanyang Technological University
Language: English

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https://hdl.handle.net/10356/182577

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