In this article, the method of dynamic performance monitoring and adaptive self-tuning of
parameters for actual PID control systems of industrial processes in virtual reality scenes is …

Based on the analysis of the new requirements of intelligent manufacturing for PID tuning
and the challenges and difficulties faced by PID tuning, this paper proposes an adaptive and …

Skilled human resource becomes an essential resource for implementing intelligent
manufacturing in the new era, prompting high demands on Intelligent Manufacturing …

Control parameters of classical control system are expected to be online tuned and
optimized by intelligent methods, in order to improve performance and help engineers …

The Metaverse is a new Internet application and social form that integrates a variety of new
technologies. With the “carbon peak, carbon neutrality” goal and the proposal of a new …

The intelligent goal of process manufacturing is to achieve high efficiency and greening of
the entire production. Whereas the information system it used is functionally independent …

This paper proposes a discrete-time extremum seeking algorithm based on annealing
recurrent neural network (ESA-ARNN) for auto-tuning of PID controller parameters. Firstly …

In steady state of process systems, reductions in cost and advances in quality are
continuously pursued. Some process systems are considered time-variant systems with …

To improve the active immunity and robustness of the combustion system of the thermal
power unit following network attacks on industrial cyber-physical system controllers, this …

The three parameters of the traditional PID controller are difficult to be adjusted manually,
and in most parameter self-tuning methods, the transfer function of the controlled object is …