Unbiased information filtering for systems with missing measurement based on disturbance estimation

DOI10.1016/j.jfranklin.2016.01.007zbMath1395.93533OpenAlexW2272248678MaRDI QIDQ1660982

Y. Aharonov

Publication date: 16 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2016.01.007

zbMATH Keywords

stochastic stabilitylinear discrete-time systemsdisturbance estimationmissing measurement systemsunbiased information filtering

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Design techniques (robust design, computer-aided design, etc.) (93B51) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Stochastic stability in control theory (93E15)

Related Items (3)

Robust particle filtering with enhanced outlier resilience and real-time disturbance compensation ⋮ A novel two-stage estimation algorithm for nonlinear Hammerstein-Wiener systems from noisy input and output data ⋮ Maximum likelihood based identification methods for rational models

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