State estimation and reconstruction of unknown inputs with arbitrary relative degree via a predefined-time algebraic solver
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Publication:2005334
DOI10.1016/j.jfranklin.2020.07.003zbMath1448.93045OpenAlexW3041104722MaRDI QIDQ2005334
Publication date: 7 October 2020
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.07.003
extended Kalman filternonlinear dynamical systemssliding mode observerestimation of state variablesalgebraic solver
Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Variable structure systems (93B12) Algebraic methods (93B25) Observers (93B53)
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Infinity augmented state Kalman filter and its application in unknown input and state estimation, A sufficient condition to design unknown input observers for nonlinear systems with arbitrary relative degree
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