To solve this problem, the acceleration-aided Kalman filter (aaKF) using a MEMS accelerometer has been proposed. In this paper, the robustness improvement by�...
Analysis and simulation results show that reliable measurements of load-side acceleration improve the estimation of load-side information and the robustness of�...
Request PDF | On Oct 1, 2018, Minoru Yokoyama and others published Robustness Analysis of Two-Mass System Control Using Acceleration-Aided Kalman Filter�...
With the fusion of both the information from the MSD correlator and Kalman filter, the improved algorithm can enhance the information feedback between them and�...
Robustness Analysis of Two-Mass System Control Using Acceleration-Aided Kalman Filter � Experimental evaluation of acceleration-enhanced velocity estimation�...
Shimono, "Robustness Analysis of Two-. Mass System Control Using Acceleration-Aided Kalman Filter," IECON. 2018 - 44th Annual Conference of the IEEE�...
Oct 1, 2023 � A Kalman Filter-Finite Element (KF-FE) framework for joint input-state estimation of nonlinear systems is proposed in the current study.
Oct 16, 2024 � This article provides a tutorial- style overview of design approaches for incorporating AI in aiding KF-type algorithms. We review both generic�...
We propose a new methodology of control system design in this situation. The concept is founded on a robust observer design, based on a linear matrix inequality�...
The objective of this study is to examine three problems that arise in experimen- tal mechanics where Kalman filter (KF) theory is used.