Yingzhao Lian

Biographie

Yingzhao graduated with a MSc in Mechanical Enginerring from EPFL in 2018. He specialized in optimization and learning theory. He jointly conducted his master’s thesis with the Automatic Control Lab, EPFL and ABB Corporate Research, Baden, where he investigated the problem of data-driven model based optimal control. In August 2018, he joined the Automatic Control Laboratory at EPFL as a PhD student under the supervision of Professor Colin Jones.

Source officielle

https://people.epfl.ch/yingzhao.lian?lang=fr

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Unités associées (1)

Publications associées (11)

Yingzhao Lian

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

Data-driven Methods for Control: from Linear to Lifting

Robust Resource-Aware Self-Triggered Model Predictive Control

Data-driven Methods for Control: from Linear to Lifting

Robust Resource-Aware Self-Triggered Model Predictive Control

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning