교수소개
조교수
2020.02.28 서울대학교 (공학박사)
2014.02.28 서울대학교 (학사)
2020.08 ~ 2022.08 TU Berlin (연구원)
2020.05 ~ 2020.07 서울대학교 엔지니어링개발연구센터 (EDRC) (연구원)
Machine learning for industrial sensing and control: A survey and practical perspective, CONTROL ENGINEERING PRACTICE , 제145권(집) , 2024.04.01
Integrating Path Integral Control With Backstepping Control to Regulate Stochastic System, International Journal of Control, Automation and Systems , 제21권(집) , 제7호 , PP.2124~2138 , 2023.07.11
Data-driven model predictive control design for offset-free tracking of nonlinear systems, INTERNATIONAL JOURNAL OF CONTROL , 제96권(집) , 제6호 , PP.1408~1423 , 2023.06.03
Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of E. coli, COMPUTERS & CHEMICAL ENGINEERING , 제172권(집) , 2023.04.01
When bioprocess engineering meets machine learning: A survey from the perspective of automated bioprocess development, Biochemical Engineering Journal , 제190권(집) , 2023.01.01
High-throughput screening of optimal process conditions using model predictive control, BIOTECHNOLOGY AND BIOENGINEERING , 제119권(집) , 제2호 , PP.3584~3595 , 2022.12.01
Primal–dual differential dynamic programming: A model-based reinforcement learning for constrained dynamic optimization, COMPUTERS & CHEMICAL ENGINEERING , 제167권(집) , 2022.11.01
Multi-strategy control to extend the feasibility region for robust model predictive control, JOURNAL OF PROCESS CONTROL , 제116권(집) , PP.25~33 , 2022.08.01
Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control, JOURNAL OF PROCESS CONTROL , 제115권(집) , PP.112~122 , 2022.07.01
Integration of Reinforcement Learning and Predictive Control to Optimize Semi-batch Bioreactor, AICHE JOURNAL , 제68권(집) , 제6호 , 2022.06.01
Safe model-based reinforcement learning for nonlinear optimal control with state and input constraints, AICHE JOURNAL , 제68권(집) , 제5호 , 2022.05.01
Move blocked model predictive control with guaranteed stability and improved optimality using linear interpolation of base sequences, INTERNATIONAL JOURNAL OF CONTROL , 제94권(집) , 제11호 , PP.3213~3225 , 2021.11.02
Model-based reinforcement learning and predictive control for two-stage optimal control of fed-batch bioreactor, COMPUTERS & CHEMICAL ENGINEERING , 제154권(집) , 2021.11.01
Data-driven offset-free multilinear model predictive control using constrained differential dynamic programming, JOURNAL OF PROCESS CONTROL , 제107호 , PP.1~16 , 2021.11.01
Automatic control of simulated moving bed process with deep Q-network, JOURNAL OF CHROMATOGRAPHY A , 제1647호 , 2021.06.21
Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation, COMPUTERS & CHEMICAL ENGINEERING , 제144권(집) , 2021.01.04
An electrochemical hydrogen peroxide sensor for applications in nuclear industry, Nuclear Engineering and Technology , 제53권(집) , 제1호 , PP.142~147 , 2021.01.01
Convergence analysis of the deep neural networks based globalized dual heuristic programming, AUTOMATICA , 제122권(집) , 2020.12.01
Move blocked model predictive control with improved optimality using semi-explicit approach for applying time-varying blocking structure, JOURNAL OF PROCESS CONTROL , 제92권(집) , PP.50~61 , 2020.08.01
A model-based deep reinforcement learning method applied to finite-horizon optimal control of nonlinear control-affine system, JOURNAL OF PROCESS CONTROL , 제87권(집) , PP.166~178 , 2020.03.01
A POMDP framework for integrated scheduling of infrastructure maintenance and inspection, COMPUTERS & CHEMICAL ENGINEERING , 2018.04.06
A prioritization method for replacement of water mains using rank aggregation, KOREAN JOURNAL OF CHEMICAL ENGINEERING , 제34권(집) , 제10호 , PP.2584~2590 , 2017.10.01
Dynamic optimization of maintenance and improvement planning for water main system: Periodic replacement approach, KOREAN JOURNAL OF CHEMICAL ENGINEERING , 제33권(집) , 제1호 , PP.25~32 , 2016.01.01