Ing. Loi Do

PhD student • doloi [at] fel [dot] cvut [dot] cz
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Loi is a doctoral student who started his doctoral studies in the fall 2019. He joined the AA4CC group in fall 2017. While in his bachelor thesis he researched the feedback control methodology based on reinforcement learning, in his graduate studies he focuses on exploitation of the full potential of the V2X (= V2V and V2I) communication technologies in public transportation and studies various distributed (communication-based) estimation and control problems.

He started his doctoral studies in the fall 2019. His research focus on spacially distributed systems. In particular, he has been studying wave-based control of the Frenkel-Kontorova model and the Sine-Gordon equation. 

Publications:
Do, L., M. Korda, and Z. Hurák, "Controlled synchronization of coupled pendulums by Koopman Model Predictive Control", Control Engineering Practice, vol. 139, pp. 105629, 10, 2023. Abstract
Do, L., K. Pucejdl, and Z. Hurak, "Experimental Platform for Boundary Control of Mechanical Frenkel-Kontorova Model", 2022 IEEE 61st Conference on Decision and Control (CDC)2022 IEEE 61st Conference on Decision and Control (CDC), vol. 8, Cancun, Mexico, IEEE, pp. 7618 - 7623, December, 2022. Abstract
Do, L., and Z. Hurák, "Synchronization in the Frenkel-Kontorova Model with Application to Control of Nanoscale Friction", 3rd IFAC Conference on Modelling, Identification and Control of Nonlinear Systems MICNON 2021, vol. 54, issue 14, Tokyo, Japan, September, 2021. Abstract
Do, L., I. Herman, and Z. Hurák, "Onboard Model-based Prediction of Tram Braking Distance", IFAC-PapersOnLine, vol. 53, issue 2, Berlin, Germany, Elsevier, pp. 15047 - 15052, 2020. Abstract