Abstract: In this work, we consider the resilient distributed Kalman filtering (RDKF) for adversarial networks in the presence of different malicious cyber attacks, and develop an RDKF algorithm to ...
Abstract: The cubature Kalman filter (CKF), while theoretically rigorous for nonlinear estimation, often suffers performance degradation due to model-environment mismatches in practice. To address ...