On minimum-variance event-triggered control

Research output: Contribution to journalArticlepeer-review


We study the problem of minimum-variance event-triggered output-feedback control of linear timeinvariant processes driven by white Gaussian noise. We show that the optimal event generation is separated from the controller configuration and can be determined by solving an optimal stopping problem. Then, for the case of integrator processes, we extend the Lebesgue sampling result of Aström and Bernhardsson in two directions: 1) we show that it applies to systems with measurement noise and limited control effort and 2) we prove that in the scalar case this control strategy is optimal, in a sense that no other causal event-triggered sampled-data controller with the same average sampling rate can outperform it.

Original languageEnglish
Pages (from-to)32-37
Number of pages6
JournalIEEE Control Systems Letters
Issue number1
StatePublished - 2017

Bibliographical note

Publisher Copyright:
© 2017 Institute of Electrical and Electronics Engineers Inc. All rights reserved.


  • Event-triggered control
  • Minimum-variance optimization
  • Optimal stopping
  • Sampled-data systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization


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