Modeling and Analysis of Networked Supervisory Control Systems with Multiple Control Channels

In this paper, we propose a novel framework for modeling and analysis of networked discrete-event systems (DES). We assume that the plant is controlled by a feedback supervisor whose control decisions are subject to communication delays and losses. Furthermore, we consider a general setting where the supervisor sends control decisions to different actuators via different communication channels whose dynamic are independent. We provide a system theoretic approach by identifying the state-space of overall networked system and investigating the dynamic of the entire state-space. Our approach precisely specify the roles of the supervisor, the communication channels and the actuators. Also, we compare the proposed networked DES model with the existing one and show that the proposed networked model can capture physical situations of a networked system more precisely.