Filtering for networked control systems with single/multiple measurement packets subject to multiple-step measurement delays and multiple packet dropouts

DOI10.1080/00207720903513335zbMath1209.93151OpenAlexW1975700532MaRDI QIDQ3082676

Maryam Moayedi, Yung Kuan Foo, Yeng Chai Soh

Publication date: 16 March 2011

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720903513335

zbMATH Keywords

time delayKalman filteringnetworked control systemspacket dropoutminimum mean-square error estimation

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24)

Related Items (8)

Estimation in multisensor networked systems with scarce measurements and time varying delays ⋮ Multirate control with incomplete information over Profibus-DP network ⋮ Optimal linear estimators for systems with multiple random measurement delays and packet dropouts ⋮ Jump state estimation with multiple sensors with packet dropping and delaying channels ⋮ Networked LQG control over lossy channels with computational/packet-transmission delays and coarsely quantised packets ⋮ Channel modeling and LQG control in the presence of random delays and packet drops ⋮ State estimator for multisensor systems with irregular sampling and time-varying delays ⋮ Linear estimation based on covariances for networked systems featuring sensor correlated random delays

Cites Work

• Stochastic analysis and control of real-time systems with random time delays
• Linear unbiased state estimation under randomly varying bounded sensor delay
• Optimal linear estimation for systems with multiple packet dropouts
• Kalman filtering for multiple time-delay systems
• Optimal filtering with random sensor delay, multiple packet dropout and uncertain observations
• Robust discrete-time H_∞filtering with uncertain initial state
• Kalman Filtering With Intermittent Observations
• Optimal ${\cal H}_{2}$ Filtering in Networked Control Systems With Multiple Packet Dropout
• ${\cal H}_{\infty}$ Estimation for Uncertain Systems With Limited Communication Capacity
• Optimal update with out-of-sequence measurements

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