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Continuous-discrete confidence interval observer - Application to vehicle positioning

Published: 01 October 2013 Publication History

Abstract

In vehicle positioning applications, the confidence level in the position and velocity estimates can be even more significant than accuracy. In this study, a probabilistic interval method is proposed, which combines, through union and intersection operations, the information from a possibly uncertain predictor (the vehicle model) and measurement sensors. The proposed method is compared to Kalman filtering and to guaranteed interval estimation in the context of railway vehicles where security is the key objective.

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Cited By

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  • (2019)On Reduced-Order Linear Functional Interval Observers for Nonlinear Uncertain Time-Delay Systems with External Unknown DisturbancesCircuits, Systems, and Signal Processing10.1007/s00034-018-0951-038:5(2000-2022)Online publication date: 1-May-2019
  • (2016)Design of interval observers for uncertain dynamical systemsAutomation and Remote Control10.1134/S000511791602001677:2(191-225)Online publication date: 1-Feb-2016

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Information & Contributors

Information

Published In

cover image Information Fusion
Information Fusion  Volume 14, Issue 4
October, 2013
228 pages

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 October 2013

Author Tags

  1. Intervals
  2. Positioning systems
  3. Railways
  4. State observer
  5. Vehicles

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Cited By

View all
  • (2019)On Reduced-Order Linear Functional Interval Observers for Nonlinear Uncertain Time-Delay Systems with External Unknown DisturbancesCircuits, Systems, and Signal Processing10.1007/s00034-018-0951-038:5(2000-2022)Online publication date: 1-May-2019
  • (2016)Design of interval observers for uncertain dynamical systemsAutomation and Remote Control10.1134/S000511791602001677:2(191-225)Online publication date: 1-Feb-2016

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