Distributed State and Unknown Input Estimation Under Denial-of-Service Attacks: A Dynamic Event-Triggered Approach

This brief presents the design of a distributed estimator for joint state and unknown input estimation of nonlinear systems subject to denial-of-service (DoS) attacks and stochastic disturbances. In contrast to the existing algorithms for distributed state estimation, the proposed estimation framework can also identify the unknown input. Moreover, non-periodic DoS attacks are considered that can independently compromise different communication links. To ensure resource conservation, an improved dynamic event-triggered (ET) mechanism is included in the proposed estimator. The new ET condition effectively reduces the unnecessary transmissions during DoS attacks as compared to the existing studies. Convergence of the estimator is established and the design conditions are presented as matrix inequalities. A simulation example is then used to verify the results.