Results 41 to 50 of about 512,282 (391)
Kalman Filters on Differentiable Manifolds [PDF]
arXiv, 2021 Kalman filter is presumably one of the most important and extensively used filtering techniques in modern control systems. Yet, nearly all current variants of Kalman filters are formulated in the Euclidean space $\mathbb{R}^n$, while many real-world systems (e.g., robotic systems) are really evolving on manifolds.
arxiv
The Convergence of the Extended Kalman Filter [PDF]
, 2007 We demonstrate that the extended Kalman filter converges locally for a broad class of nonlinear systems. If the initial estimation error of the filter is not too large then the error goes to zero exponentially as time goes to infinity. To demonstrate this, we require that the system be $C^2$ and uniformly observable with bounded second partial ...
openaire +4 more sources
Fuzzy Logic Applications in Filtering and Fusion for Target Tracking [PDF]
, 2007 A fuzzy Kalman filter algorithm is developed for target tracking applications and itsperformance evaluated using several numerical examples. The approach is relatively novel. Acomparison with Kalman filter and an adaptive tuning algorithm is carried out.
Kashyap, S. K., Raol, J. R.
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Design and Simulation of the Integrated Navigation System based on Extended Kalman Filter
Open Physics, 2017 The integrated navigation system is used to estimate the position, velocity, and attitude of a vehicle with the output of inertial sensors. This paper concentrates on the problem of the INS/GPS integrated navigation system design and simulation.
Zhou Weidong +4 more
doaj +1 more source
Jurnal Elkomika, 2022 ABSTRAK Penggunaan perangkat penyimpan energi semakin lama semakin meningkat pada peralatan berdaya kecil maupun besar. Baterai selama ini menjadi pilihan utama sebagai penyimpan energi.
ACHMAD AFANDI +3 more
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Extending the practical applicability of the Kalman Filter [PDF]
arXiv, 2022 A Schmidt filter is a modification of the Kalman filter that allows to append system parameters as states and considers their uncertainty effect in the filtering process without attempting to estimate such parameters. The states that are only considered but not estimated, are generally known as \textit{consider} or \textit{considered} states.
arxiv
Incorporating neuro-fuzzy with extended Kalman filter for simultaneous localization and mapping
International Journal of Advanced Robotic Systems, 2019 Extended Kalman filter is well-known as a popular solution to the simultaneous localization and mapping problem for mobile robot platforms or vehicles. In this article, the development of a neuro-fuzzy-based adaptive extended Kalman filter technique is ...
Cong Hung Do, Huei-Yung Lin
doaj +1 more source
IET Signal Processing, 2021 One of the current ways to continue space research is to launch ballistic rockets that carry scientific payloads. To improve the accuracy of the instantaneous evolution of the payload impact on the Earths surface, it is necessary to estimate indirect ...
Jose Abreu +2 more
doaj +1 more source
Filtering Electrocardiogram Signals Using the Extended Kalman Filter [PDF]
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005 In this paper the Extended Kalman Filter (EKF) has been used for the filtering of Electrocardiogram (ECG) signals. The method is based on a previously nonlinear dynamic model proposed for the generation of synthetic ECG signals. The results show that the EKF may be used as a powerful tool for the extraction of ECG signals from noisy measurements; which
Sameni, Reza +2 more
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Smart Power Grid Synchronization With Fault Tolerant Nonlinear Estimation [PDF]
, 2016 Effective real-time state estimation is essential for smart grid synchronization, as electricity demand continues to grow, and renewable energy resources increase their penetration into the grid.
Wang, Xin, Yaz, Edwin E
core +2 more sources