A distributed moving horizon estimator for mobile robot localization problems

Andrea Simonetto, Daniele Balzaretti, Tamás Keviczky

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

Abstract

We propose a distributed moving horizon estimator (MHE) for a mobile robot localization problem using sensor networks. The application scenario represents a constrained nonlinear system, where the process is locally unobservable by each sensor alone. The proposed distributed MHE algorithm is based on a weighted average consensus process. Crucial aspects such as stability, unbiased estimates, and the approximation of the arrival cost are discussed. Simulation results show the performance of the algorithm in comparison to the centralized approach.

Original languageEnglish
Title of host publicationProceedings of the 18th IFAC World Congress
PublisherIFAC Secretariat
Pages8902-8907
Number of pages6
Edition1 PART 1
ISBN (Print)9783902661937
DOIs
Publication statusPublished - 1 Jan 2011
Externally publishedYes

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
Volume44
ISSN (Print)1474-6670

Keywords

  • Distributed estimation
  • Moving horizon estimator
  • Sensor networks

Fingerprint

Dive into the research topics of 'A distributed moving horizon estimator for mobile robot localization problems'. Together they form a unique fingerprint.

Cite this