Online minimization of sensor activation for supervisory control

Weilin Wang

Research output: Contribution to journalArticleResearchpeer-review

10 Citations (Scopus)


In supervisory control, the objective of observation is to guarantee a correct control decision. To observe an event occurrence, an associated sensing device must be activated, which incurs a cost. In this paper, an online algorithm is developed to minimize sensor activation while ensuring that the collected information is sufficient. In previous work, it was determined that observation problems can be reduced to distinguishing certain pairs of states. Now, this is extended by taking into account future system evolution. Applying the extended result, the online algorithm only needs to look one step ahead and remember the current state estimate.

Original languageEnglish
Pages (from-to)8-14
Number of pages7
Publication statusPublished - 1 Nov 2016


  • Discrete event systems
  • Observability
  • Online sensor activation
  • Supervisory control

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