Novel optimal recursive filter for state and fault estimation of linear stochastic systems with unknown disturbances

DOI10.2478/v10006-011-0049-3zbMath1283.93282OpenAlexW2066604327MaRDI QIDQ5403418

Karim Khémiri, Fayçal Ben Hmida, Moncef Gossa, José Ragot

Publication date: 26 March 2014

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/v10006-011-0049-3

zbMATH Keywords

state estimationKalman filteringlinear discrete-time systemsfault estimationminimum-variance estimationunknown disturbances

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Perturbations in control/observation systems (93C73) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05)

Related Items (6)

Outlier-resistant sequential filtering fusion for cyber-physical systems with quantized measurements under denial-of-service attacks ⋮ Estimating unbounded unknown inputs in nonlinear systems ⋮ Simultaneous robust fault and state estimation for linear discrete-time uncertain systems ⋮ Selected Estimation Strategies for Fault Diagnosis of Nonlinear Systems ⋮ State estimation for a class of nonlinear systems ⋮ Double fault distinguishability in linear systems

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