… Abstract—In this article, an iterative indirect Kalman filter is proposed to realize motion
estimation based on inertial sensors. In the fusion of gyroscope, accelerometer and …

… CONCLUSIONS This paper presented the estimation algorithms for load side information
of indirect robot joint based on a multisensor configuration. Kalman filtering methods were for…

… a steady-state Kalman filter and an optimized finite … Kalman filter. For comparison, the
method of characteristics and was applied to the same data. Estimation results of the Kalman filter …

… Indirect Adaptive Control In this section, an indirect adaptive PID controller based on an NN
… This section demonstrates that the estimation error produced by the extended Kalman filter …

In order to improve the performance of an extended Kalman filter, a simplified indirect inference
method (SIIM) fuzzy logic system (FLS) is proposed. The proposed FLS is composed of …

… Programmable System on Chip (PSoC) is used in this project for Kalman filter … Kalman
filter algorithm was developed for 30 samples in proper C language of PSoC. It was …

… This article investigates the effectiveness of direct and indirect model adaptive control … in
the principle of certainty equivalence are avoided indirectly. The state of the reference model is …

… Kalman filter (ADKF) approach for underwater integrated navigation system to improve the
performance of the prevalent indirect Kalman filter … In contrast to the indirect Kalman filter, in …

… existing indirect TPMS. To achieve this research goal, adaptive extended Kalman filtering with
… vehicle suspension systems is proposed for the new indirect-type TPMS in this study. After …

… motors are: Model reference adaptive systems (MRAS), Kalman and Luenberger observers.
In this paper, the extended Kalman filter (EKF) is used for the estimation of the rotor speed of …