首页/论文/2011.13781

arXiv 2011.137812020-11eess.SYcs.SY

Robust Learning Model Predictive Control for Periodically Correlated Building Control

Jicheng Shi, Yingzhao Lian, Colin N. Jones

备注：: Accepted by 2021 European Control Conference (ECC)

英文摘要：

Accounting for more than 40% of global energy consumption, residential and commercial buildings will be key players in any future green energy systems. To fully exploit their potential while ensuring occupant comfort, a robust control scheme is required to handle various uncertainties, such as external weather and occupant behaviour. However, prominent patterns, especially periodicity, are widely seen in most sources of uncertainty. This paper incorporates this correlated structure into the learning model predictive control framework, in order to learn a global optimal robust control scheme for building operations.

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