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Resilient Nonlinear State Estimation Using the Median Operation for a Network of Droop-Controlled Power Inverters
Eindhoven University of Technology, Department of Mechanical Engineering, Eindhoven University Of Technology, Department Of Mechanical Engineering.
Eindhoven University of Technology, Department of Mechanical Engineering, Eindhoven University Of Technology, Department Of Mechanical Engineering.
Seoul National University of Science and Technology, Department of Electrical and Information Engineering, Korea.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0003-1835-2963
2024 (English)In: 2024 European Control Conference, ECC 2024, Institute of Electrical and Electronics Engineers (IEEE) , 2024, p. 3070-3076Conference paper, Published paper (Refereed)
Abstract [en]

We consider the problem of estimating the states of a continuous-time nonlinear dynamical system, where a subset of sensors can be maliciously corrupted using a potentially unbounded additive signal. The proposed estimation scheme employs a bank of observers which are robust with respect to disturbances and attacks, in conjunction with median operation to build the state estimate. The median operation is the key ingredient which guarantees that the state estimate is constructed using sensor(s) which are not under attack. A standing assumption in this scheme is that the system has to be observable from each sensor. We provide a constructive design method for the state observers for a class of nonlinear systems and illustrate the efficacy of the resilient median-based state estimation scheme using real data on an inverter-based power distribution network.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024. p. 3070-3076
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-351934DOI: 10.23919/ECC64448.2024.10590750ISI: 001290216502133Scopus ID: 2-s2.0-85200596144OAI: oai:DiVA.org:kth-351934DiVA, id: diva2:1890150
Conference
2024 European Control Conference, ECC 2024, Stockholm, Sweden, Jun 25 2024 - Jun 28 2024
Note

Part of ISBN 9783907144107

QC 20240827

Available from: 2024-08-19 Created: 2024-08-19 Last updated: 2025-04-28Bibliographically approved

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Sandberg, Henrik

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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Output format
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