Data-driven control performance monitoring (CPM) is becoming increasingly important in
assessing and diagnosing changes in intricate industrial processes that are challenging to …

Frequent operation changes are inevitable to achieve different production aims, which leads
to mixed periods of stationarity and nonstationarity in industrial processes and increases the …

With the development of information and communication technologies, industrial cyber–
physical systems (ICPSs) have accumulated a large amount of data, which enables us to …

In this paper, a novel salient object detection framework based on Linear Quadratic
Regulator (LQR) controller is proposed. The major goal of this research is to take advantage …

To prevent adverse consequences for performance deterioration, it is of great importance to
evaluate performance promptly and implement precautions at the right time. Therefore …

For the requirements of performance assessment of the thermal power plant control process,
the combustion control system of a 330 MW generator unit in a power plant is studied. Firstly …

In general, a plant model or its equivalent information, such as interactor matrix or the first
several leading Markov matrices, is indispensable to the minimum variance (MV) …

An automatic and accurate control performance diagnosis algorithm is necessary for general
chemical processes with a number of control loops when a performance change occurs. The …

In this paper, a novel control performance monitoring method using Kullback‐Leibler
divergence is proposed for a multi‐input‐multi‐output (MIMO) control system. Kullback …

Statistical approach to Control Performance Assessment (CPA) is of great practical
importance. This is particularly visible in process industry, where there are many PID loops …