Open access
2026
A NUV-Based Adaptive Robust Unscented Kalman Filter for Nonlinear State Estimation Under Cyberattacks
Cyberattacks in Cyber-Physical Systems (CPS) can corrupt sensor measurements, significantly degrading nonlinear state estimation accuracy and causing numerical instability during filtering. To address these challenges, this paper proposes a Normal-with-Unknown-Variance-based Robust Derivative Unscented Kalman Filter (N...
An-Peng Chen, Zhu Ren, Peng-Cheng Dai et al.
· IEEE Access · 0 citations