Event-Triggered Multi-Sensor Hybrid Fusion Under Bounded Noises

A hybrid fusion framework combines centralized and distributed framework is developed in this paper to configure measurement units and computational power in the event-triggered communication network flexibly. For the purposes of handling the bounded noise, based on spectral radius, an upper bound of the squared error is constructed and a optimal fusion estimator is derived by minimizing this upper bound. Finally, a target tracking system is given to show the effectiveness of the designed fusion framework and the advantages of proposed method especially when the characteristics of the noise are not recognized statistically.