Estimation of unknown inputs, with application to fault detection, via partial hierarchical observation

Francisco J. Bejarano, Leonid Fridman, Alexander Poznyak

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

In this manuscript we show that neither left invertibility is a sufficient condition nor strong detectability is a necessary condition for estimating the unknown inputs. Here we show that the necessary and sufficient condition for estimating the unknown inputs is that the invariant zeros of the system not belonging to the set of unobservable eigenvalues have negative real part. For estimating the unknown inputs, we propose a method of design based on the partial state observation, which is made via a hierarchical scheme where a second order (super-twisting) sliding mode is used. This is also applied for the case of fault detection and isolation. We give a numerical example to illustrate the method of design proposed here.

Original languageEnglish
Title of host publication2007 European Control Conference, ECC 2007
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5154-5161
Number of pages8
ISBN (Electronic)9783952417386
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 9th European Control Conference, ECC 2007 - Kos, Greece
Duration: 2 Jul 20075 Jul 2007

Publication series

Name2007 European Control Conference, ECC 2007

Conference

Conference2007 9th European Control Conference, ECC 2007
Country/TerritoryGreece
CityKos
Period2/07/075/07/07

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