Process systems are characterized by nonlinearity, uncertainty, large scales, and also the
need of pursuing both safety and economic optimality in operations. As a result they are …

With the transformation and upgrading of the manufacturing industry, manufacturing systems
have become increasingly complex in terms of the structural functionality, process flows …

Recently, a new process monitoring and fault diagnosis method based on slow feature
analysis has been developed, which enables concurrent monitoring of both operating point …

This paper presents a smart supervisory framework for a single process controller, designed
for Industry 4.0 shop floors. This digitization of a full supervisory suite for a single process …

Optimal operations of industrial control systems require rigorous monitoring to ensure safety,
increase profitability, and minimize plant maintenance downtime. Thus, controller …

Oscillatory control loop is a frequent problem in process industries. Its incidence reduces
product uniformity and increases both energy consumption and raw material waste. These …

This paper provides a perspective on the major challenges and directions in academic
process control research over the next 5–10 years, and its industrial implementation. Large …

For the large-scale accommodation of intermittent renewable energy, coal-fired power plants
operate under rapid load change condition so that the superheated steam temperature …

The performance of Fisher discriminant analysis (FDA) method is highly depended on the
labeled data. While obtaining the true labels of the industrial data is often time-consuming …

Oscillation in control loops is a frequent problem in the process industries. These oscillations
directly impact product quality, leading to a decreased plant profit. Additionally, oscillations …