Stochastic Scheduling for Stability of Networked Control Systems – A Short Review

With the increasing adoption of networked control systems in industrial process automation, it is crucial to ensure their effectiveness in data transmission. The challenges such as time delays, packet dropouts and bandwidth allocation are involved in data transmission over a networked control system. To maintain the stability of process control, the network connecting field devices is essentially analysed. This paper aims to provide informative trends on challenges in networked control systems supported to process control. It includes the review of methods used to improve stability and maintain the time delays, packet dropouts, and other intermediate challenges like bandwidth allocation collected from the literature. Moreover, the paper delivers the stochastic nature of network scheduling through various theories like Markov, Lyapunov, Swarm optimization, Monte Carlo, NBM, DNS, Dempster’s combination etc. Overall, this study can assist readers in comprehending the potential for stochastic scheduling in networked control systems for process automation.