Model-based event-triggered dynamic output predictive control of networked uncertain systems with random delay

This paper explores a dynamic output predictive control issue for networked systems with random delays and uncertainties. Based on the networked predictive control systems, an adaptive event-triggered dynamic output predictive control strategy is presented. And a networked delay compensator method is employed to compensate the communication delay actively. Furthermore, the problem we addressed can be transformed into the delay-dependent stability and stabilisation problem of networked control systems. Finally, the Lyapunov–Krasovskii functional approach and linear matrix inequality method are introduced to solve the expected solution. Both the results of numerical simulations and experiment are used to verify the effectiveness of the proposed method.