Mean square stabilization of a scalar nonlinear system with i.i.d. feedback dropouts based on periodic event-triggering

This paper focuses on a scalar nonlinear system, whose feedback packets are transmitted through an unreliable digital communication network. The network is band-limited and suffers from external disturbance, bounded transmission delay and i.i.d. feedback dropouts. To save communication resource, a periodic event-triggered strategy is proposed to maintain the mean square stability of the concerned system. In comparison with periodic sampling, our strategy can stabilize the system at a lower bit rate. Note that the obtained bit rate condition is up to the Lipschitz parameter, the bound of network delay, the dropout rate, the sampling period and the number of quantization bits. Some simulations are provided to verify the effectiveness of our proposed method.