Jinling Liang, Zidong Wang, Fan Wang

Recursive Filtering for 2-D Shift-Varying Systems with Communication Constraints (eBook, ePUB)

• Format: ePub

Produktbeschreibung

It presents research developments and novel methodologies for recursive filtering for 2-D shift-varying systems with communication constraints. It investigates recursive filter/estimator design and performance analysis explaining dynamics of the system, subtle design of filter gains, effects of the communication constraints on performance.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 244
• Erscheinungstermin: 5. September 2021
• Englisch
• ISBN-13: 9781000429305
• Artikelnr.: 62253185

Autorenporträt

Jinling Liang, Zidong Wang, Fan Wang

Inhaltsangabe

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.