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dc.contributor.author
Mohajerin Esfahani, Peyman
dc.contributor.author
Lygeros, John
dc.date.accessioned
2017-06-11T03:17:09Z
dc.date.available
2017-06-11T03:17:09Z
dc.date.issued
2013
dc.identifier.uri
http://hdl.handle.net/20.500.11850/78406
dc.description.abstract
The paper presents a novel perspective along with a scalable methodology to design a fault detection and isolation (FDI) filter for high dimensional nonlinear systems. Previous approaches on FDI problems are either confined to linear systems or they are only applicable to low dimensional dynamics with specific structures. In contrast, we propose an optimization-based approach to robustify a linear residual generator given some statistical information of the disturbance patterns, shifting attention from the system dynamics to the disturbance inputs. We then invoke the existing randomized techniques to provide theoretical guarantees for the performance of the proposed filter. Finally, motivated by a cyber-physical attack emanating from the vulnerabilities introduced by the interaction between IT infrastructure and power system, we deploy the developed theoretical results to diagnose and mitigate such an intrusion before the functionality of the power system is disrupted.
dc.language.iso
en
dc.publisher
ETH Zürich, Institut für Automatik
dc.title
A Tractable Fault Detection and Isolation Approach for Nonlinear Systems with Probabilistic Performance
dc.type
Report
ethz.journal.title
Report Institute of Automatic Control, ETH Zürich
ethz.journal.volume
AUT13-01
ethz.notes
.
ethz.publication.place
Zürich
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02650 - Institut für Automatik / Automatic Control Laboratory::03751 - Lygeros, John / Lygeros, John
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02650 - Institut für Automatik / Automatic Control Laboratory::03751 - Lygeros, John / Lygeros, John
ethz.date.deposited
2017-06-11T03:19:02Z
ethz.source
ECIT
ethz.identifier.importid
imp5936517b7484289522
ethz.ecitpid
pub:123390
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-14T18:34:50Z
ethz.rosetta.lastUpdated
2018-11-02T12:51:08Z
ethz.rosetta.versionExported
true
ethz.COinS
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