Online state estimation for discrete nonlinear dynamic systems with nonlinear noise and interference

DOI10.1016/J.JFRANKLIN.2014.10.017zbMath1307.93393OpenAlexW1971327569MaRDI QIDQ2263661

Kerim Demirbaş

Publication date: 19 March 2015

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

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2014.10.017

zbMATH Keywords

discrete nonlinear dynamic systemsauxiliary sampling importance resampling (ASIR) particle filterdiscrete noise approximation, state quantizationmultiple composite hypothesis testingonline state estimationrecursive state filtering and prediction scheme (PR)sampling importance resampling (SIR) particle filter

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Sampled-data control/observation systems (93C57)

Related Items (1)

Tracking control of a piezo-hydraulic actuator using input-output linearization and a cascaded extended Kalman filter structure

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