Event-triggered state estimation with an energy harvesting sensor

Jiarao Huang, Dawei Shi*, Tongwen Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

51 Citations (Scopus)

Abstract

In this paper, a problem of event-triggered state estimation for a linear Gaussian system with an energy harvesting sensor is investigated. A stochastic energy-dependent event-triggering transmission protocol is proposed to balance the communication rate and estimation performance according to the sensor's battery energy. The joint conditional probability distribution of the state and sensor's energy level on the combined set-valued and point-valued event-triggered measurements available to the remote estimator is derived. Based on this distribution, the recursive minimum mean squared error estimates of the state and sensor energy level are obtained. Also, the relationship between the average communication rate and energy harvesting rate is discussed. Finally, a numerical example is provided to evaluate the effectiveness of the proposed results.

Original languageEnglish
Article number7883888
Pages (from-to)4768-4775
Number of pages8
JournalIEEE Transactions on Automatic Control
Volume62
Issue number9
DOIs
Publication statusPublished - Sept 2017
Externally publishedYes

Keywords

  • Energy harvesting
  • event-triggered scheduling
  • remote state estimation

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