Optimal and suboptimal minimum-variance filtering in networked systems with mixed uncertainties of random sensor delays, packet dropouts and missing measurements

Maryam Moayedi; Y.K. Foo; Yeng Chai Soh

doi:10.1007/s12555-010-0603-z

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Optimal and suboptimal minimum-variance filtering in networked systems with mixed uncertainties of random sensor delays, packet dropouts and missing measurements

Maryam Moayedi Y.K. Foo Yeng Chai Soh

Year: 2010 Journal: International Journal of Control Automation and Systems Vol: 8 (6)Pages: 1179-1188 Publisher: Springer Science+Business Media

DOI: 10.1007/s12555-010-0603-z

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Keywords:

Dropout (neural networks) Network packet Estimator Kalman filter Markov chain Missing data Computer science Filter (signal processing) Random access Filtering problem Markov chain Monte Carlo Variance (accounting) Control theory (sociology) Extended Kalman filter Algorithm Mathematics Statistics Bayesian probability Artificial intelligence Machine learning Computer network

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Stability and Control of Uncertain Systems

Physical Sciences → Engineering → Control and Systems Engineering

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Distributed Sensor Networks and Detection Algorithms

Physical Sciences → Computer Science → Computer Networks and Communications

Optimal and suboptimal minimum-variance filtering in networked systems with mixed uncertainties of random sensor delays, packet dropouts and missing measurements

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Optimal and suboptimal minimum-variance filtering in networked systems with mixed uncertainties of random sensor delays, packet dropouts and missing measurements

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Citation History

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