Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment

1.Introduction 2. Optimal Filtering for Networked Systems with Channel Fading and Measurement Censoring 3. Tobit Kalman Filter with Time-Correlated Multiplicative Sensor Noise Under Redundant Channel Transmission 4. State Estimation Under Non-Gaussian Levy and Time-Correlated Additive Sensor Noise 5. Protocol-Based Filter Design Under Integral Measurement and Probabilistic Sensor Failure 6. Distributed Filtering Fusion over Packet-Delaying Networks Subject to Censored Data 7. Federated Filtering Fusion with Dead-Zone-Like Censoring and Dynamical Bias Under Round-Robin Protocol 8. Multi-Sensor Filtering Fusion with Parametric Uncertainty and Measurement Censoring 9. Protocol-Based Filtering Fusion for State-Saturated Systems with Dead-Zone-Like Censoring Under Deception Attacks 10. Variance-Constrained Filtering Fusion for Nonlinear Cyber-Physical Systems Under Stochastic Communication Protocol 11. Conclusion and Furture Topics

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Channel Fading;Tobit Kalman;Filtering Fusion;Sensor Noise;Protocol-Based Filtering Fusion;Stochastic Communication Protocol