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arXiv · 2012.03452

Data-Driven Predictive Control for Continuous-Time Industrial Processes with Completely Unknown Dynamics

Yuanqiang Zhou·Dewei Li·Yugeng Xi
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Abstract

This paper investigates the data-driven predictive control problems for a class of continuous-time industrial processes with completely unknown dynamics. The proposed approach employs the data-driven technique to get the system matrices online, using input-output measurements. Then, a model-free predictive control approach is designed to implement the receding-horizon optimization and realize the reference tracking. Feasibility of the proposed algorithm and stability of the closed-loop control systems are analyzed, respectively. Finally, a simulation example is provided to demonstrate the effectiveness of the proposed approach.

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BibTeXRIS

Yuanqiang Zhou, Dewei Li, Yugeng Xi. 2020-12-07. Data-Driven Predictive Control for Continuous-Time Industrial Processes with Completely Unknown Dynamics. https://arxiv.org/abs/2012.03452

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