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

Tianci Yang; Carlos Murguia; Margreta Kuijper; Dragan Nešić

doi:10.1016/j.automatica.2020.109043

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

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

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

20 Citaten (Scopus)

Samenvatting

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.

Originele taal-2	Engels
Artikelnummer	109043
Aantal pagina's	4
Tijdschrift	Automatica
Volume	119
DOI's	https://doi.org/10.1016/j.automatica.2020.109043
Status	Gepubliceerd - sep. 2020

Financiering

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 André L. Tits.

Toegang tot document

10.1016/j.automatica.2020.109043

Andere bestanden en links

Link to publication in Scopus

Citeer dit

@article{6a73eb440ce44b37be1f2c26f0846756,

title = "A multi-observer based estimation framework for nonlinear systems under sensor attacks",

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.",

keywords = "Cyber–physical systems, Multi-observer, Nonlinear observers, Security, Sensor attacks",

author = "Tianci Yang and Carlos Murguia and Margreta Kuijper and Dragan Ne{\v s}i{\'c}",

year = "2020",

month = sep,

doi = "10.1016/j.automatica.2020.109043",

language = "English",

volume = "119",

journal = "Automatica",

issn = "0005-1098",

publisher = "Elsevier",

}

TY - JOUR

T1 - A multi-observer based estimation framework for nonlinear systems under sensor attacks

AU - Yang, Tianci

AU - Murguia, Carlos

AU - Kuijper, Margreta

AU - Nešić, Dragan

PY - 2020/9

Y1 - 2020/9

N2 - 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.

AB - 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.

KW - Cyber–physical systems

KW - Multi-observer

KW - Nonlinear observers

KW - Security

KW - Sensor attacks

UR - https://www.scopus.com/pages/publications/85086410672

U2 - 10.1016/j.automatica.2020.109043

DO - 10.1016/j.automatica.2020.109043

M3 - Article

AN - SCOPUS:85086410672

SN - 0005-1098

VL - 119

JO - Automatica

JF - Automatica

M1 - 109043

ER -

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

Samenvatting

Financiering

Toegang tot document

Andere bestanden en links

Vingerafdruk

Citeer dit