High-order sliding-mode observation and fault detection

Leonid Fridman, Jorge Davila, Arie Levant

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

26 Scopus citations

Abstract

A high-order sliding-mode observer is designed for linear time invariant systems with bounded unknown inputs. It provides the global observation of the state under sufficient and necessary conditions of strong observability or strong detectability. The observation is finite-time-convergent and exact in the strongly observable case and asymptotically exact in the strongly detectable case. An unknown input identification algorithm is proposed with finite time convergence for the strongly observable case, and asymptotic convergence for the strongly detectable case. Necessary and sufficient conditions for unknown input identification are given. The unknown input identification algorithm is applied for fault detection. The case of sensor-faults detection is considered without filtration.

Original languageEnglish
Title of host publicationProceedings of the 46th IEEE Conference on Decision and Control 2007, CDC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4317-4322
Number of pages6
ISBN (Print)1424414989, 9781424414987
DOIs
StatePublished - 2007
Externally publishedYes
Event46th IEEE Conference on Decision and Control 2007, CDC - New Orleans, LA, United States
Duration: 12 Dec 200714 Dec 2007

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference46th IEEE Conference on Decision and Control 2007, CDC
Country/TerritoryUnited States
CityNew Orleans, LA
Period12/12/0714/12/07

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