… compared to the adaptively robust filters with unified adaptive factor and classified adaptive
factors. The existing problems of the adaptive filter with multi adaptive factors are analyzed. …

… applying the robust M estimate. In the present paper, an adaptively robust filter is developed
by combining the adaptive Kalman filter and robust estimation. The main feature of this new …

… of the adaptively robust filter with standard Kalman filter, robust filter and some other adaptive
Kalman filters as well … Other developments of the adaptively robust filter are also presented. …

… Motivated by the structure of the ARKF, we propose a novel tracking derivative-free
nonlinear filter named the adaptively robust unscented Kalman filter (ARUKF). The ARUKF can …

… Applications of adaptive robust Kalman filtering techniques … Therefore, we present an
adaptive robust Kalman filtering for … Kalman filter and adaptive robust Kalman filter respectively …

… new algorithm for an adaptively robust Kalman filter with classified adaptive factors for clock
… First, we introduce the standard adaptively robust filtering. Standard adaptive robust filtering …

… factors is not only robust in controlling the measurement outliers and the kinematic state …
, and its filtering accuracy is superior to the adaptively robust filter with single adaptive factor …

… and adaptive robust filtering have been compared in other papers[9,10]. This paper tries to
combine the new adaptively robust filtering with the Sage filtering. It uses the Sage filtering to …

… The basic abilities of the fading filters and adaptively robust filter … The results of the fading
filter and adaptively robust filter are … Analyzing the adaptively robust filtering and fading filtering, …

… of the filter design to guarantee boundedness of the estimation error is specified. Furthermore,
the adaptive … Since many robust H1 filter or adaptive filter techniques are represented as …