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20132024
most citedSquare-root algorithms for maximum correntropy estimation of linear discrete-time systems in presence of non-Gaussian noise

80 citations · 455 across the 20 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

math.OC2023★ 15 cited

MATLAB-based general approach for square-root extended-unscented and fifth-degree cubature Kalman filtering methods

Maria V. Kulikova, Gennady Yu. Kulikov

A stable square-root approach has been recently proposed for the unscented Kalman filter (UKF) and fifth-degree cubature Kalman filter (5D-CKF) as well as for the mixed-type method…

math.OC2023★ 8 cited

Square-root filtering via covariance SVD factors in the accurate continuous-discrete extended-cubature Kalman filter

Maria V. Kulikova, Gennady Yu. Kulikov

This paper continues our research devoted to an accurate nonlinear Bayesian filters' design. Our solution implies numerical methods for solving ordinary differential equations (ODE…

eess.SY2023★ 16 cited

Factored-form Kalman-like implementations under maximum correntropy criterion

Maria V. Kulikova

The maximum correntropy criterion (MCC) methodology is recognized to be a robust filtering strategy with respect to outliers and shown to outperform the classical Kalman filter (KF…

eess.SY2023★ 1 cited

On the stable Cholesky factorization-based method for the maximum correntropy criterion Kalman filtering

Maria V. Kulikova

This paper continues the research devoted to the design of numerically stable square-root implementations for the maximum correntropy criterion Kalman filtering (MCC-KF). In contra…

math.OC2023★ 43 cited

Chandrasekhar-based maximum correntropy Kalman filtering with the adaptive kernel size selection

Maria Kulikova

This technical note is aimed to derive the Chandrasekhar-type recursion for the maximum correntropy criterion (MCC) Kalman filtering (KF). For the classical KF, the first Chandrase…

math.OC2023★ 3 cited

One-step condensed forms for square-root maximum correntropy criterion Kalman filtering

Maria Kulikova

This paper suggests a few novel Cholesky-based square-root algorithms for the maximum correntropy criterion Kalman filtering. In contrast to the previously obtained results, new al…

math.NA2023★ 26 cited

Continuous-discrete unscented Kalman filtering framework by MATLAB ODE solvers and square-root methods

Maria Kulikova, Gennady Kulikov

This paper addresses the problem of designing the {\it continuous-discrete} unscented Kalman filter (UKF) implementation methods. More precisely, the aim is to propose the MATLAB-b…