A multi-observer based estimation framework for nonlinear systems under sensor attacks
AuthorYang, T; Murguia, C; Kuijper, M; Nešić, D
AffiliationElectrical and Electronic Engineering
Document TypeJournal Article
CitationsYang, T., Murguia, C., Kuijper, M. & Nešić, D. (2020). A multi-observer based estimation framework for nonlinear systems under sensor attacks. Automatica, 119, https://doi.org/10.1016/j.automatica.2020.109043.
Access StatusThis item is embargoed and will be available on 2022-09-20
ARC Grant codeARC/DP170104099
For general discrete-time nonlinear systems, we address the state estimation problem under sensor attacks. We provide a general estimation scheme, built around the idea of sensor redundancy and multi-observers, capable of reconstructing the system state in spite of sensor attacks and noise, for a large class of nonlinear plants and observers. This scheme has been proposed by others for linear systems and here we propose a unifying framework for a much larger class of nonlinear systems.
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