Outlier-Resistant Filtering With Dead-Zone-Like Censoring Under Try-Once-Discard Protocol

In this paper, a novel outlier-resistant filtering problem is concerned for a class of networked systems with dead-zone-like censoring under the weighted try-once-discard protocol (WTODP). To describe the phenomenon of dead-zone-like censoring, the sensor output is characterized by the Tobit model in which the censored region is restrained by specified left- and right-censoring thresholds. The WTODP is employed to decide the transmission sequence of sensors so as to alleviate undesirable data collisions. In the case of the measurement outliers, a saturation function is employed in the Tobit Kalman filter structure to constrain the innovations contaminated by the measurement outliers, thereby maintaining satisfactory filtering performance. By resorting to the approach of the matrix inequality, an upper bound is first obtained on the filtering error covariance where the gain matrix of the Tobit Kalman filter is carefully designed to minimize the obtained upper bound. Moreover, the exponential boundedness of the filtering error is analyzed in the mean square sense. Finally, the effectiveness of the proposed outlier-resistant filtering algorithm is verified by three practical examples.

Automated summary

This paper investigates a novel outlier-resistant filtering problem for networked systems with dead-zone-like censoring using the weighted try-once-discard protocol (WTODP). The Tobit model is employed to describe the censoring phenomenon, and the WTODP is used to decide the transmission sequence of sensors to avoid collisions. A saturation function is applied in the Tobit Kalman filter structure to handle measurement outliers, and an upper bound on the filtering error covariance is obtained using matrix inequality approach. The effectiveness of the proposed algorithm is verified through practical examples.