A multi-observer based estimation framework for nonlinear systems under sensor attacks
T Yang, C Murguia, M Kuijper, D Nešić
Automatica | Elsevier | Published : 2020
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.
Awarded by Australian Research Council (ARC)
This work was partially supported by the Australian Research Council (ARC) under the Discovery Project DP170104099. The material in this paper was partially presented at The 57th IEEE Conference on Decision and Control, December 17-19, 2018, Miami Beach, Florida, USA. This paper was recommended for publication in revised form by Associate Editor Daniele Astolfi under the direction of Editor Andre L. Tits.