Analyzing the Effect of Uncertain Dynamics in Industrial Networked Control System through Control Action

Abstract

Industrial Network control systems, which integrate sensors, actuators, and controllers, have demonstrated a rapid development. The low maintenance, simplicity of installation, system cabling, and monitoring of Network Control Systems (NCS) make them useful in a variety of fields. However, targeted attacks can compromise communication over the NCS network. Entrants are more likely to access large amounts of information transmitted through communication channels or networks, thereby diminishing the control over the network system. The proportional integral and derivative control and Kalman filter is employed to analyze the performance of industrial networked control system. The MATLAB Simulink environment is used to simulate the suggested model. The results of the simulation demonstrate how the suggested methodology enhanced system performance of industrial networked control system.