Sensor scheduling in continuous time

Heung Wing Joseph Lee, K. L. Teo, Andrew E B Lim

Research output: Journal article publicationJournal articleAcademic researchpeer-review

43 Citations (Scopus)

Abstract

Let N be the number of available sensor sources. Noisy observations of an underlying state process are available for these N sources. We consider the continuous time sensor scheduling problem in which N1of these N sources are to be chosen to collect data at each time point. This sensor scheduling problem (with switching costs and switching constraints) is formulated as a constrained optimal control problem. In this framework, the controls represent the sensors that are chosen at a particular time. Thus, the control variables are constrained to take values in a discrete set, and switchings between sensors can occur in continuous time. By incorporating recent results on discrete valued optimal control, we show that this problem can be transformed into an equivalent continuous optimal control problem. In this way, we obtain the sensor scheduling policy as well as the associated switching times.
Original languageEnglish
Pages (from-to)2017-2023
Number of pages7
JournalAutomatica
Volume37
Issue number12
DOIs
Publication statusPublished - 1 Dec 2001

Keywords

  • Optimal control
  • Parametrization
  • Scheduling algorithms
  • Sensors
  • Stochastic systems
  • Switching times

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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