Research, the universal pursuit of new knowledge, is embarking on a fresh journey into
artificial intelligence (AI). ature reports that AI arose nine places to the fourth-most popular …

Early fault detection in power electronic systems (PESs) to maintain reliability is one of the
most important issues that has been significantly addressed in recent years. In this article …

In this article, a novel distributed fuzzy load frequency control (LFC) approach is investigated
for multiarea power systems under cross-layer attacks. The nonlinear factors existing in …

To comply with the effluent standards and growing demands for safety and reliability, the
operation of wastewater treatment processes (WWTPs) has been considered as a …

In this paper, a novel data-driven predictive iterative learning control (DDPILC) scheme
based on a radial basis function neural network (RBFNN) is proposed for a class of …

Accurate monitoring of abnormalities is of great significance to the stable operation of the
blast furnace ironmaking process. This article proposes a data-driven model to accurately …

The ultra supercritical (USC) for the boiler-turbine unit has become an advanced power
generation technology due to its high combustion efficiency and low-carbon emission …

The real-time availability of key water quality parameters is of great importance for an
advanced and optimized process control in wastewater treatment plants (WWTPs). However …

This paper investigates the problem of accurate voltage tracking control for direct current-
direct current (DC-DC) boost converter under unknown system parameters and load. Firstly …

The main steam temperature (MST) in power plants suffers from nonlinearity and large time
delay, which cause large overshoot and long settling time under widely used cascade …