The method of system observability analysis using pseudo-inverse of system observability matrix

Jin Long Dong, Bo Mo

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

10 Citations (Scopus)

Abstract

The system observability can be analyzed through calculating the rank of the system observability matrix. But the observability degree of each state of the system can't be expressed by this method. It is well known that the pseudo-inverse matrix of system observability matrix can be obtained after performing the singular value decomposition of the system observability matrix. Meanwhile, the general solutions of liner consistent equations can be expressed by pseudo-matrix of the coefficient matrix, and the system observability can be obtained by analyzing the general solutions of the equations, the coefficient matrix of which is the system observability matrix. The 'degree of unobservability' has been defined. By analyzing the free part of the solutions, the system unobservability can be found. The formula of system states unobservability degree has been constructed. The simulation result in INS initial alignment system on stationary base has proved that this method is available. Meanwhile, the method can be also used in liner time-varying system.

Original languageEnglish
Title of host publicationProceedings of the 32nd Chinese Control Conference, CCC 2013
PublisherIEEE Computer Society
Pages55-59
Number of pages5
ISBN (Print)9789881563835
Publication statusPublished - 18 Oct 2013
Event32nd Chinese Control Conference, CCC 2013 - Xi'an, China
Duration: 26 Jul 201328 Jul 2013

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference32nd Chinese Control Conference, CCC 2013
Country/TerritoryChina
CityXi'an
Period26/07/1328/07/13

Keywords

  • degree of unobservability
  • observability
  • pseudo-inverse matrix
  • singular value decomposition (SVD)
  • uniqueness of solutions

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