Cauchy kernel correntropy‐based robust multi‐innovation identification method for the nonlinear exponential autoregressive model in non‐Gaussian environment
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.7338
Abstract: This paper discusses the identification problem of the nonlinear exponential autoregressive model in the non‐Gaussian noise environment. To suppress the negative influence caused by the non‐Gaussian noise on the accuracy of the identification, this paper… read more here.
Keywords: kernel correntropy; correntropy based; cauchy kernel; multi innovation ... See more keywords
Multi-kernel correntropy based extended Kalman filtering for state-of-charge estimation.
Sign Up to like & getrecommendations! Published in 2022 at "ISA transactions"
DOI: 10.1016/j.isatra.2022.02.047
Abstract: As a powerful tool for real-time battery management, the extended Kalman filter (EKF) can achieve an online estimation for state of charge (SOC). The EKF, however, may yield biased estimates since the measured system suffers… read more here.
Keywords: kernel correntropy; estimation; state; multi kernel ... See more keywords
Kernel Correntropy Conjugate Gradient Algorithms Based on Half-Quadratic Optimization.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2019.2959834
Abstract: As a nonlinear similarity measure defined in the kernel space, the correntropic loss (C-Loss) can address the stability issues of second-order similarity measures thanks to its ability to extract high-order statistics of data. However, the… read more here.
Keywords: quadratic optimization; conjugate gradient; gradient; kernel correntropy ... See more keywords