High-order sliding-mode observation for systems with unknown inputs

Leonid M. Fridman, Jorge Angel Davila Montoya, Arie Levant

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

16 Scopus citations

Abstract

Algorithms for observation, identification and fault detection of linear time-invariant strongly observable systems with unknown inputs are developed, based on high order sliding modes. The possibility of their extension is discussed to strongly detectable and nonlinear systems. Some applications of the proposed algorithms are presented.

Original languageEnglish
Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
Edition1 PART 1
DOIs
StatePublished - 2008
Event17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
Duration: 6 Jul 200811 Jul 2008

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
Volume17
ISSN (Print)1474-6670

Conference

Conference17th World Congress, International Federation of Automatic Control, IFAC
Country/TerritoryKorea, Republic of
CitySeoul
Period6/07/0811/07/08

Keywords

  • Control of switched systems
  • Nonlinear observer and filter design
  • Observers for linear systems

Fingerprint

Dive into the research topics of 'High-order sliding-mode observation for systems with unknown inputs'. Together they form a unique fingerprint.

Cite this