Event-Triggered Networked Predictive Output Tracking Control of Cyber–Physical Systems With Model Uncertainty and Communication Constraints

This brief investigates the output tracking control problem of cyber-physical systems with model uncertainty and random communication constraints. An event-triggered networked predictive output tracking control method is presented to actively compensate random communication constraints in the two-channel, namely the feedback channel and forward channel. To handle the communication overload issue caused by communication constraints in networked predictive control approach, two kinds of event-triggered mechanisms are designed in both sensor and controller to save network resources. Then, the stability conditions of closed-loop systems with model certainty and uncertainty cases are derived. Finally, numerical simulation is performed to verify the effectiveness of presented method.