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 maximum correntropy unscented Kalman filtering with state equality constraints
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5677
Abstract: This article investigates the distributed maximum correntropy unscented Kalman filtering problem for nonlinear systems via a sensor network. The system dynamics is subject to state equality constraints and non‐Gaussian noise. By utilizing the maximum correntropy… read more here.
Keywords: distributed maximum; state; unscented kalman; maximum correntropy ... See more keywords
Comparison of the Convergence Rates of the New Correntropy-Based Levenberg–Marquardt (CLM) Method and the Fixed-Point Maximum Correntropy (FP-MCC) Algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-017-0694-3
Abstract: Correntropy as an efficient information theoretic (ITL) criterion has been extensively applied in many non-Gaussian applications. In order to maximize correntropy, several optimization algorithms have been proposed. Fixed-point maximum correntropy (FP-MCC) and correntropy-based Levenberg–Marquardt (CLM)… read more here.
Keywords: point maximum; maximum correntropy; correntropy; convergence ... See more keywords
Pulsar profile denoising using kernel regression based on maximum correntropy criterion
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DOI: 10.1016/j.ijleo.2016.10.132
Abstract: Abstract A pulsar profile denoising method using kernel regression based on maximum correntropy criterion is proposed. This method uses the kernel regression to reduce the human visual inspection inescapable in the current profile denoising methods… read more here.
Keywords: kernel regression; regression; maximum correntropy; profile denoising ... See more keywords
Kernel recursive maximum correntropy with Nyström approximation
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DOI: 10.1016/j.neucom.2018.10.064
Abstract: Abstract Kernel adaptive filters (KAFs) with growing network structures incur high computational burden. Generally, sparsification methods are introduced to curb the growth of the filter structure under some threshold rules, resulting in a variable structure.… read more here.
Keywords: approximation; maximum correntropy; kernel recursive; recursive maximum ... See more keywords
A Hierarchical Safety Control Strategy for Exoskeleton Robot Based on Maximum Correntropy Kalman Filter and Bounding Box
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DOI: 10.1017/s0263574719001073
Abstract: Summary Exoskeleton robots have been widely used in many fields at present. When wearing the exoskeleton to operate, the wearer may be unconscious of the position of exoskeleton or affected by the surrounding environment, causing… read more here.
Keywords: maximum correntropy; bounding box; hierarchical safety; safety control ... See more keywords
Maximum Correntropy High-order Extended Kalman Filter
Sign Up to like & getrecommendations! Published in 2022 at "Chinese Journal of Electronics"
DOI: 10.1049/cje.2020.00.334
Abstract: In this paper, a novel Maximum correntropy High-order Extended Kalman Filter (H-MCEKF) is proposed for a class of nonlinear non-Gaussian systems presented by polynomial form. All high-order polynomial terms in the state model are defined… read more here.
Keywords: maximum correntropy; filter; model; kalman filter ... See more keywords
Gaussian mixture image restoration based on maximum correntropy criterion
Sign Up to like & getrecommendations! Published in 2017 at "Electronics Letters"
DOI: 10.1049/el.2016.3515
Abstract: Using Gaussian mixture model (GMM) as a patch prior has achieved great success in image restoration (IR). However, based on the derivations, the objective function of the conventional GMM-based IR methods can be expressed as… read more here.
Keywords: image; criterion; image restoration; maximum correntropy ... See more keywords
An Accurate and Robust Gaze Estimation Method Based on Maximum Correntropy Criterion
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2896303
Abstract: Accurately estimating the user’s gaze is important in many applications, such as human–computer interaction. Due to great convenience, appearance-based methods for gaze estimation have been a popular subject of research for many years. However, the… read more here.
Keywords: maximum correntropy; method; correntropy criterion; estimation ... See more keywords
Affine Projection Algorithm by Employing Maximum Correntropy Criterion for System Identification of Mixed Noise
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DOI: 10.1109/access.2019.2959919
Abstract: The adaptive algorithms have been widely studied in Gaussian environment. However, the impulsive noise and other non-Gaussian noise may largely deteriorate the performance of algorithm in practical applications. To address this problem, in this paper,… read more here.
Keywords: maximum correntropy; affine projection; system identification; noise ... See more keywords
Maximum Correntropy Kalman Filtering for Non-Gaussian Systems With State Saturations and Stochastic Nonlinearities
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2023.123195
Abstract: This paper tackles the maximum correntropy Kalman filtering problem for discrete time-varying non-Gaussian systems subject to state saturations and stochastic nonlinearities. The stochastic nonlinearities, which take the form of state-multiplicative noises, are introduced in systems… read more here.
Keywords: state; kalman filtering; non gaussian; correntropy kalman ... See more keywords