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Published in 2018 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-018-1376-4
Abstract: This paper discusses the mixture distribution-based data-driven robust chance constrained problem. We construct a data-driven mixture distribution-based uncertainty set from the perspective of simultaneously estimating higher-order moments. Then, we derive a reformulation of the data-driven…
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Keywords:
constrained problems;
chance constrained;
data driven;
driven robust ... See more keywords
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Published in 2021 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2021.3075996
Abstract: Beamforming is a promising technique to enhance the security of wireless transmission, while the optimal beamforming design with partial channel state informing (CSI) is challenging. This letter develops a three-dimensional (3D) robust beamforming method for…
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Keywords:
communication;
driven robust;
robust beamforming;
deep learning ... See more keywords
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Published in 2022 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2021.3094999
Abstract: This work proposes a novel data-driven robust model predictive control (DDRMPC) framework for automatic control of greenhouse in-door climate. The framework integrates dynamic control models of greenhouse temperature, humidity, and CO2 concentration level with data-driven…
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Keywords:
greenhouse;
climate;
uncertainty;
control ... See more keywords