Recursive Filtering for 2-D Shift-Varying Systems with Communication Constraints

1. Introduction. 2. Minimum-Variance Recursive Filtering for Two-Dimensional Systems with Degraded Measurements: Boundedness and Monotonicity. 3. Robust Kalman Filtering for Two-Dimensional Systems with Multiplicative Noises and Measurement Degradations. 4. Robust Finite-Horizon Filtering for Two-Dimensional Systems with Randomly Varying Sensor Delays. 5. Recursive Filtering for Two-Dimensional Systems with Missing Measurements subject to Uncertain Probabilities. 6. Resilient State Estimation for Two-Dimensional Shift-Varying Systems with Redundant Channels. 7. Recursive Distributed Filtering for Two-Dimensional Shift-Varying Systems Over Sensor Networks Under Random Access Protocols. 8. Resilient Filtering for Linear Shift-Varying Repetitive Processes under Uniform Quantization and Round-Robin Protocols. 9. Event-Triggered Recursive Filtering for Shift-Varying Linear Repetitive Processes. 10. Conclusions and Future Topics.

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Robust Kalman Filtering;Degraded Measurements;Filtering Error Variance;Estimation Error Variance;Robust Finite-Horizon;Recursive Filtering;Resilient Filtering;Packet Dropouts;Round-Robin Protocol;Stochastic Nonlinearity;Random Access Protocol;Distributed Filtering Problem;RA Protocol;Robust Filtering Problem;Redundant Channels;Sensor Delays;Linear Repetitive Processes;Filtering Error;Communication Protocols;Roesser Model;Dissipative Filtering;Quadratic Filter;Gain Perturbation;Kalman Filtering;Missing Measurements;Filtering Problem;Sensor Node;Sensor Network;Markovian Jump Systems;Asymptotic Stability