Developing Purely Data-Driven Multi-Mode Process Controllers Using Inverse Reinforcement Learning

• Published in: Computer Aided Chemical Engineering Vol. 53; pp. 2731 - 2736
• Main Authors: Lin, Runze, Chen, Junghui, Huang, Biao, Xie, Lei, Su, Hongye
• Format: Book Chapter
• Language: English
• Published: 2024
• Subjects: data-driven controller design; inverse reinforcement learning; multi-mode process control; multi-task reinforcement learning; data-driven controller design; inverse reinforcement learning; multi-mode process control; multi-task reinforcement learning

In recent years, process control researchers have been paying close attention to Deep Reinforcement Learning (DRL). DRL offers the potential for model-free controller design, but it is challenging to achieve satisfactory outcomes without accurate simulation models and well-designed reward functions,...