The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …

Grey wolf optimizer is a recently developed metaheuristic algorithm that mimics hunting and
social behaviour. It has been applied in most of the engineering design problems. Grey wolf …

The current development of modern computational methods makes it possible to improve
the performance of classical components and systems. The work provides a method for …

Global energy demand is experiencing a notable surge due to growing energy security.
Renewable energy sources, like ethanol, are becoming more viable. In the present study …

To solve the problem that the control system is prone to instability due to the sudden change
of physical characteristics, strong interference, and nonlinear in the process of multimodal …

PID controllers are important control methods that are widely used in industrial processes.
Proper tuning of PID gains is critical for achieving the state-of-the-art system performance …

Alongside the rapid advancement of technology, researchers are looking for accurate,
flexible, and efficient ways to control systems. One big breakthrough in technology is the PID …

Control auto-tuning for industrial and robotic systems, when framed as an optimization
problem, provides an excellent means to tune these systems. However, most optimization …

This paper uses a socio-politically inspired meta-heuristic algorithm based on the behaviour
of voters and candidates named modified presidential election algorithm (PEA-II) for …

A novel, transistor level PID (proportional–integrating–derivative) controller is proposed that
may be easily coupled with various AI algorithms responsible for adjusting its main factors …