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Deep Reinforcement Learning-Based Intelligent Water Level Control: From Simulation to Embedded Implementation.

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第一作者： Kevin,Cusihuallpa-Huamanttupa

第一单位： TESLA Laboratory, Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Cusco 08003, Peru.;Professional Academic School of Systems and Computer Engineering, Universidad Continental, Cusco 08000, Peru.

作者： Kevin,Cusihuallpa-Huamanttupa ^[1] ; Erwin J,Sacoto-Cabrera ^[2] ; Roger Jesus,Coaquira-Castillo ^[3] ; L Walter,Utrilla Mego ^[4] ; Julio Cesar,Herrera-Levano ^[4] ; Yesenia,Concha-Ramos ^[5] ; Edison,Moreno-Cardenas ^[4]

作者单位： TESLA Laboratory, Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Cusco 08003, Peru.;Professional Academic School of Systems and Computer Engineering, Universidad Continental, Cusco 08000, Peru. ^[1] GIHP4C, Universidad Politécnica Salesiana, Cuenca 010102, Ecuador. ^[2] LIECAR Laboratory, Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Cusco 08003, Peru. ^[3] TESLA Laboratory, Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Cusco 08003, Peru. ^[4] Professional Academic School of Systems and Computer Engineering, Universidad Continental, Cusco 08000, Peru. ^[5]

关键词 Arduino Uno DDPG algorithm deep reinforcement learning neural networks real-time systems water level control

DOI 10.3390/s26010245

PMID 41516680

发布时间 2026-01-13

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准确一般字义偏差语意偏离译文作用小提交