Actor‐critic (AC) methods have emerged as an important class of reinforcement learning
(RL) paradigm that enables model‐free control by acting on a process and learning from the …

For future applications of artificial intelligence, namely reinforcement learning (RL), we
develop a resilience-based explainable RL agent to make decisions about the activation of …

Exothermic reactions carried out in batch reactors need a lot of attention to operate because
any insufficient condition can lead to thermal runaway causing an explosion in the worst …

We propose a fundamental-model-based optimization framework for open-loop and real-
time batch recipe optimization using mathematical programing (MP) and reinforcement …

The air separation unit (ASU) is important for producing high-purity oxygen, nitrogen, and
argon, and dynamic load change operation helps meet the needs of downstream industries …

In this thesis, data driven approaches to sequential decision making problems within
process systems engineering (PSE) are developed. Specifically, the use of model-free …

Process control is vital for operating chemical process safely and efficiently while
maintaining product quality. Process control has been implemented by utilizing traditional …