A decentralized MGST-VBUKF algorithm is proposed that uses generalized Student's t correntropy, variational Bayesian noise modeling, and regional fusion to improve robustness in power system state estimation under non-Gaussian and unknown noise.
Memory proportionate APA with individual activation factors for acoustic echo cancellation,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Decentralized Variational Bayesian UKF with Maximum Generalized Student's t-kernel Correntropy for Wide-Area Power System state estimation
A decentralized MGST-VBUKF algorithm is proposed that uses generalized Student's t correntropy, variational Bayesian noise modeling, and regional fusion to improve robustness in power system state estimation under non-Gaussian and unknown noise.