Modeling and Analysis of Network Control System Based on Hierarchical Coloured Petri Net and Markov Chain

This paper investigates a modified modeling of networked control systems (NCSs) with programmable logic controller (PLC). First, the controller-to-actuator and sensor-to-controller network-induced delays are investigated by tactics based on hierarchical coloured petri net (HCPN) in structure-conserving way. Comparing recent result, signal transmission delay is set random interval instead fixed mode; moreover, data packet drop out disorder also taken into consideration. Second, captured form CPN tools analyzed strategy Baum–Welch algorithm statistics science. Besides, time modeled as Markov chain transition probabilities calculated using consequent from previous operation. Finally, comparison verification illustrates equivalence property between proposed models.