On the ensemble observability problem for nonlinear systems

Shen Zeng, Frank Allgöwer

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

9 Scopus citations

Abstract

We consider the ensemble observability problem for nonlinear systems and illuminate it from both theoretical and practical perspectives. In the ensemble observability problem we would like to reconstruct a density of initial states from the evolution of the density of outputs under a nonlinear system. For the theoretical question of ensemble observability, i.e. the uniqueness of the reconstruction of the initial state density, we discuss possible approaches. One approach is based on the natural connection between the ensemble observability problem with nonlinear tomography problems. Through this formulation, the problem also becomes amenable to computational solutions. We present an implementation of Algebraic Reconstruction Techniques from computerized tomography which is well-suited for reconstructing the initial state density. We illustrate this method on a simulation example.

Original languageEnglish
Title of host publication54rd IEEE Conference on Decision and Control,CDC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6318-6323
Number of pages6
ISBN (Electronic)9781479978861
DOIs
StatePublished - Feb 8 2015
Event54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan
Duration: Dec 15 2015Dec 18 2015

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume54rd IEEE Conference on Decision and Control,CDC 2015
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference54th IEEE Conference on Decision and Control, CDC 2015
Country/TerritoryJapan
CityOsaka
Period12/15/1512/18/15

Keywords

  • Evolution (biology)
  • Linear systems
  • Nonlinear systems
  • Observability
  • Sociology
  • Statistics
  • Tomography

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