Active sensing policy for systems with parametric and additive noise

Shuo Liu, L. E. Holloway

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

Abstract

In systems with sensing cost, an active sensing policy is needed to determine when to collect sensing observations. This paper presents an active sensing policy for systems with additive and parametric white noise. The policy uses an open-loop estimator between sensings and a Kalman filter when observations are requested. The goal of the policy is to maintain the variance of the state estimate below a given threshold. Sufficient conditions are presented that guarantee that this goal is achievable and will be met.

Original languageEnglish
Title of host publicationProceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304)
Pages4561-4566
Number of pages6
Volume5
DOIs
StatePublished - 1999
EventThe 38th IEEE Conference on Decision and Control (CDC) - Phoenix, AZ, USA
Duration: Dec 7 1999Dec 10 1999

Publication series

NameProceedings of the IEEE Conference on Decision and Control
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISSN (Print)0191-2216

Conference

ConferenceThe 38th IEEE Conference on Decision and Control (CDC)
CityPhoenix, AZ, USA
Period12/7/9912/10/99

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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