Adaptive deadband control of a drifting process with unknown parameters

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Adjusting a drifting process to minimize the expected sum of quadratic off-target and fixed adjustment costs is considered under unknown process parameters. A Bayesian approach based on sequential Monte Carlo methods is presented. The benefits of the resulting "deadband" adjustment policy are studied.

Original languageEnglish (US)
Pages (from-to)843-852
Number of pages10
JournalStatistics and Probability Letters
Issue number8
StatePublished - Apr 15 2007

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


Dive into the research topics of 'Adaptive deadband control of a drifting process with unknown parameters'. Together they form a unique fingerprint.

Cite this