Model-free Adaptive Optimal Control of Episodic Fixed-horizon Manufacturing Processes Using Reinforcement Learning

Continuous control of a polymerization system with deep reinforcement learning

(2019) Yan Ma et al.   JOURNAL OF PROCESS CONTROL

New Methods for Optimal Operational Control of Industrial Processes Using Reinforcement Learning on Two Time Scales

(2019) Wenqian Xue et al.   IEEE Transactions on Industrial Informatics

Optimal and Autonomous Control Using Reinforcement Learning: A Survey

(2018) Bahare Kiumarsi et al.   IEEE Transactions on Neural Networks and Learning Systems

Dual-Rate Operational Optimal Control for Flotation Industrial Process with Unknown Operational Model

(2018) Yi Jiang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Nonlinear Constrained Optimal Control of Wave Energy Converters With Adaptive Dynamic Programming

(2018) Jing Na et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Design strategy for optimal iterative learning control applied on a deep drawing process

(2016) B. Endelt   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Reducing the computational effort of optimal process controllers for continuous state spaces by using incremental learning and post-decision state formulations

(2014) Melanie Senn et al.   JOURNAL OF PROCESS CONTROL

A survey of point-based POMDP solvers

(2012) Guy Shani et al.   AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS

Experimental verification of a deep drawing tool system for adaptive blank holder pressure distribution

(2012) Søren Tommerup et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

A novel feedback control system – Controlling the material flow in deep drawing using distributed blank-holder force

(2012) Benny Endelt et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Adaptive Dynamic Programming: An Introduction

(2009) Fei-Yue Wang et al.   IEEE Computational Intelligence Magazine

Factors influencing the tensile behavior of a Fe–28Mn–9Al–0.8C steel

(2009) Je Doo Yoo et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING