A robust state estimation method for power systems using generalized correntropy loss function
The accurate estimation of power system states is crucial for effective monitoring and control.
However, the performance of conventional state estimators, which assume Gaussian …
However, the performance of conventional state estimators, which assume Gaussian …
Robust adaptive algorithm for widely-linear Hammerstein system and its application
G Qian, S Huang, J Liu, J Mei, S Wang - Signal Processing, 2024 - Elsevier
The Hammerstein model is a crucial model frequently employed in the field of signal
processing. This paper focuses on the widely-linear (WL) complex-valued adaptive filtering …
processing. This paper focuses on the widely-linear (WL) complex-valued adaptive filtering …
Finite-Time Distributed State Estimation Algorithm for a Nonlinear Hydraulic System
M Zhu, T Sui, J Chen, R Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This article investigates the issue of distributed state estimation for a nonlinear hydraulic
system. Our objective is to propose a distributed algorithm that enables individual nodes to …
system. Our objective is to propose a distributed algorithm that enables individual nodes to …
A dynamic state estimation method for integrated energy system based on radial basis kernel function
For state estimation (SE) of dynamic electro-thermal gas coupled systems, measurements
usually assume that the measurement noise obeys a Gaussian distribution. The extended …
usually assume that the measurement noise obeys a Gaussian distribution. The extended …
Least Absolute Value Based Temperature-Dependent Robust State Estimation
Inaccuracies in both measurements and parameter determination can generate biased
results in state estimation. The change in branch temperature precipitates fluctuations in …
results in state estimation. The change in branch temperature precipitates fluctuations in …