State Estimation with Linear Equality Constraints Based on Trajectory Function of Time and Karush-Kuhn-Tucker Conditions

Jinyang Zhou, Tiancheng Li, Xiaoxu Wang

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

3 Scopus citations

Abstract

In this paper, we address the constrained target tracking problem based on the approach of the trajectory function of time, in which the target state satisfies equality constraints. What is different from the previous work is that we handle equality constraints by means of utilizing Karush-Kuhn-Tucker conditions within the trajectory curve fitting framework. A simple numerical example has been used for demonstrating the advantage of our proposed approach in comparison with the exiting Kalman filter based on the projection approach and the pseudo-observation approach.

Original languageEnglish
Title of host publication10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages438-443
Number of pages6
ISBN (Electronic)9781665440295
DOIs
StatePublished - 2021
Event10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Xi'an, China
Duration: 14 Oct 202117 Oct 2021

Publication series

Name10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021 - Proceedings

Conference

Conference10th International Conference on Control, Automation and Information Sciences, ICCAIS 2021
Country/TerritoryChina
CityXi'an
Period14/10/2117/10/21

Keywords

  • Constrained target tracking
  • Karush-Kuhn-Tucker conditions
  • Least squares fitting
  • Trajectory function of time

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