Maximum‐correntropy‐based Kalman filtering for time‐varying systems with randomly occurring uncertainties: An event‐triggered approach
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5368
Abstract: In this article, the maximum‐correntropy‐based Kalman filtering problem is investigated for a class of linear time‐varying systems in the presence of non‐Gaussian noises and randomly occurring uncertainties (ROUs). The random nature of the parameter uncertainties… read more here.
Keywords: kalman filtering; event; based kalman; time varying ... See more keywords
Distributed consensus-based Kalman filtering considering subspace decomposition
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.443
Abstract: Abstract The aim of this paper is to provide a new observer structure able to deal with the distributed estimation of a discrete-time linear system from a network of agents. The main result is an… read more here.
Keywords: distributed consensus; consensus based; kalman filtering; consensus ... See more keywords
A predictor for dead-time systems based on the Kalman Filter for improved disturbance rejection and robustness
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DOI: 10.1016/j.jprocont.2021.07.011
Abstract: Abstract Dead-time processes are common in industry and represent a challenge for feedback control. The use of predictor structures with the controllers can attenuate this. A predictor is proposed here based on the Kalman filter,… read more here.
Keywords: disturbance rejection; based kalman; kalman filter; predictor ... See more keywords
Dynamic displacement estimation by fusing LDV and LiDAR measurements via smoothing based Kalman filtering
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DOI: 10.1016/j.ymssp.2016.05.027
Abstract: Abstract This paper presents a smoothing based Kalman filter to estimate dynamic displacement in real-time by fusing the velocity measured from a laser Doppler vibrometer (LDV) and the displacement from a light detection and ranging… read more here.
Keywords: based kalman; smoothing based; displacement estimation; dynamic displacement ... See more keywords
Real‐Time Earthquake Location Based on the Kalman Filter Formulation
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DOI: 10.1029/2019gl086240
Abstract: Seismic location is an essential task for earthquake monitoring. The general practice is to locate earthquakes using arrival times from all recorded stations. However, this is not well suited for real‐time applications such as the… read more here.
Keywords: earthquake; real time; location; based kalman ... See more keywords
Highly Curved Lane Detection Algorithms Based on Kalman Filter
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DOI: 10.3390/app10072372
Abstract: The purpose of the self-driving car is to minimize the number casualties of traffic accidents. One of the effects of traffic accidents is an improper speed of a car, especially at the road turn. If… read more here.
Keywords: curve lane; detection; kalman filter; based kalman ... See more keywords
A New Variational Bayesian-Based Kalman Filter with Unknown Time-Varying Measurement Loss Probability and Non-Stationary Heavy-Tailed Measurement Noise
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DOI: 10.3390/e23101351
Abstract: In this paper, a new variational Bayesian-based Kalman filter (KF) is presented to solve the filtering problem for a linear system with unknown time-varying measurement loss probability (UTVMLP) and non-stationary heavy-tailed measurement noise (NSHTMN). Firstly,… read more here.
Keywords: variational bayesian; probability; kalman filter; new variational ... See more keywords