Dynamic event-triggered tracking control for model-free networked control systems

This study investigates the dynamic event-triggered (DET) model-free adaptive tracking control (DET-MFATC) problem for nonlinear systems with consideration of denial-of-service (DoS) attacks and round-trip time (RTT) delays. Firstly, we introduce an attack compensa-tion mechanism for the sake of reducing the effects of DoS attacks. At the same time, a network predictive delay compensation mechanism is proposed for compensating the ef-fects of RTT delays caused by packet dropouts, network time-delay and packet disorders. What's more, the DET method is developed to save communication resources. The nonlin-ear system is represented by an equivalent data model where the nonlinear characteristics are expressed as pseudo-partial derivative (PPD) parameters. The designed DET-MFATC al-gorithm can guarantee the security tracking control problem only using input and output (I/O) data. In the end, simulation results clearly certify the effectiveness of the presented algorithm.(c) 2022 Elsevier Inc. All rights reserved.

Automated summary

This study investigates the problem of dynamic event-triggered model-free adaptive tracking control for nonlinear systems considering denial-of-service attacks and round-trip time delays. The study introduces attack compensation and delay compensation mechanisms, and develops the DET method to save communication resources. The designed DET-MFATC algorithm solves the security tracking control problem only using input and output data, and simulation results demonstrate its effectiveness.