Embedding active learning in batch-to-batch optimization using reinforcement learning

A dynamic penalty approach to state constraint handling in deep reinforcement learning

(2022) Haeun Yoo et al.   JOURNAL OF PROCESS CONTROL

Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation

(2020) Haeun Yoo et al.   COMPUTERS & CHEMICAL ENGINEERING

Dual-mode Batch-to-batch Optimization as a Markov Decision Process

(2019) Sebastien Gros   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Robust Batch-to-Batch Optimization with Scenario Adaptation

(2019) Boeun Kim et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Reinforcement learning for batch bioprocess optimization

(2019) P. Petsagkourakis et al.   COMPUTERS & CHEMICAL ENGINEERING

Stochastic model predictive control with active uncertainty learning: A Survey on dual control

(2018) Ali Mesbah   ANNUAL REVIEWS IN CONTROL

Dual robust nonlinear model predictive control: A multi-stage approach

(2018) S. Thangavel et al.   JOURNAL OF PROCESS CONTROL

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Neighbouring-extremal control for singular dynamic optimisation problems. Part I: single-input systems

(2009) S. Gros et al.   INTERNATIONAL JOURNAL OF CONTROL

Survey on iterative learning control, repetitive control, and run-to-run control

(2009) Youqing Wang et al.   JOURNAL OF PROCESS CONTROL

Batch-to-batch optimal control of a batch polymerisation process based on stacked neural network models

(2007) Jie Zhang   CHEMICAL ENGINEERING SCIENCE