Data-driven based predictive control for networked nonlinear systems with energy-limited DoS attacks

This paper focuses on the security issue of tracking control for a class of networked nonlinear systems under energy-limited Denial-of-Service (DoS) attacks. An event-triggered mechanism is considered into the system to save communication resources. By using the model-free adaptive control (MFAC) algorithm, we introduced a data-driven based predictive control method to solve the packets loss caused by DoS attacks. The given simulation shown the method we proposed was effective in deal with the energy-limited DoS attacks and reduce the communication burden.