Event-Triggered Finite-Time Filtering for Nonlinear Networked System With Quantization and DOS Attacks

This paper concerns with the finite-time filter design problem for discrete-time nonlinear networked system subject to quantization effect and denial-of-service (DoS) attacks via dynamic event-triggered scheme (DETS). The nonlinear networked system is presented by Takagi-Sugeno (T-S)fuzzy model. The dynamic event-triggered generator and logarithmic quantizer are employed to save the limited network bandwidth. A stochastic Bernoulli distribution variable is used to characterize the effect of the randomly occurring DoS attacks in communication channel. By a generalized performance index, the finite-time H-infinity filtering and l(2)-l(infinity) filtering problem are accessed under a unified framework. The filtering error model is well established by taking event-triggered scheme, logarithmic quantization, and DoS attacks into account. The sufficient conditions for the existence of an acceptable filter are derived such that the filtering error system is finite-time stochastic bounded with the prescribed H-infinity or l(2)-l(infinity) performance. The filter gains and the event-triggered communication parameter are co-designed by solving these inequality sufficient conditions. Finally, a simulation study is performed to demonstrate the effectiveness of the proposed approach.