A multi-observer based estimation framework for nonlinear systems under sensor attacks

Tianci Yang (Corresponding author), Carlos Murguia, Margreta Kuijper, Dragan Nešić

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.

Original languageEnglish
Article number109043
Number of pages4
JournalAutomatica
Volume119
DOIs
Publication statusPublished - Sep 2020

Keywords

  • Cyber–physical systems
  • Multi-observer
  • Nonlinear observers
  • Security
  • Sensor attacks

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