Development and analysis of the numerical criterion for the degree of observability of state variables in nonlinear systems

Andrey V. Proletarsky, Konstantin A. Neusypin, Kai Shen, Maria S. Selezneva, Vic Grout

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

4 Citations (Scopus)

Abstract

This paper is concerned with the problem of development and analysis of numerical criteria for the degree of observability in nonlinear systems. The disadvantages of existing criteria of observability and controllability were introduced. A numerical criterion for the degree of observability of each state variable was developed in nonlinear systems by utilizing the representation of nonlinear models in the State Dependent Coefficient form. The application of the novel criterion was demonstrated for the analysis of the degree of observability of inertial navigation system errors by the simulation with experimental data.

Original languageEnglish
Title of host publication2017 Internet Technologies and Applications, ITA 2017 - Proceedings of the 7th International Conference
EditorsSusan Liggett, Denise Oram, Rich Picking, Nigel Houlden, Julie Mayers, Stuart Cunningham, Vic Grout, Raed A. Abd-Alhameed, Yuriy Vagapov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages150-154
Number of pages5
ISBN (Electronic)9781509048151
DOIs
Publication statusPublished - 8 Nov 2017
Externally publishedYes
Event7th International Conference on Internet Technologies and Applications, ITA 2017 - Wrexham, United Kingdom
Duration: 12 Sept 201715 Sept 2017

Publication series

Name2017 Internet Technologies and Applications, ITA 2017 - Proceedings of the 7th International Conference

Conference

Conference7th International Conference on Internet Technologies and Applications, ITA 2017
Country/TerritoryUnited Kingdom
CityWrexham
Period12/09/1715/09/17

Keywords

  • Navigation system
  • Nonlinear system
  • Observation quality
  • State dependent coefficient
  • The degree of observability

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