This review article explores how emerging generative artificial intelligence (GenAI) models,
such as large language models (LLMs), can enhance solution methodologies within process …

Many industrial processes utilize proportional-integral-derivative (PID) controllers due to
their practicality and often satisfactory performance. The proper controller parameters …

The regulation process of gas distribution systems for atmosphere packaging has the
characteristics of being nonlinear time varying and having hysteric delay. When the …

In this paper, an online optimization approach of a fractional-order PID controller based on a
fractional-order actor-critic algorithm (FOPID-FOAC) is proposed. The proposed FOPID …

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 …

The proper tuning of proportional–integral–derivative (PID) control is critical for satisfactory
control performance. However, existing tuning methods are often time-consuming and …

In the context of mechanical systems characterized by nonlinearity, uncertainty, and
unknown external disturbances, this paper presents a novel and practical robust control …

Most solutions to the inventory management problem assume a centralization of information
that is incompatible with organizational constraints in supply chain networks. The problem …

This paper focuses on driver-automation shared lateral control by considering the variation
of driver state which is interfered by multiple-risk abnormal behaviours. First, four abnormal …

Meta-learning is a branch of machine learning which trains neural network models to
synthesize a wide variety of data in order to rapidly solve new problems. In process control …