Extending the Best Linear Approximation framework to the process noise case

Maarten Schoukens (Corresponding author), Rik M. Pintelon, Tadeusz Dobrowiecki, Johan Schoukens

Research output: Contribution to journalArticleAcademicpeer-review

8 Citations (Scopus)
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The Best Linear Approximation (BLA) framework has already proven to be a valuable tool to analyze nonlinear systems and to start the nonlinear modeling process. The existing BLA framework is limited to systems with additive (colored) noise at the output. Such a noise framework is a simplified representation of reality. Process noise can play an important role in many real-life applications. This paper generalizes the Best Linear Approximation framework to account also for the process noise, both for the open-loop and the closed-loop setting, and shows that the most important properties of the existing BLA framework remain valid. The impact of the process noise contributions on the robust BLA estimation method is also analyzed.
Original languageEnglish
Article number8736761
Pages (from-to)1514-1524
Number of pages11
JournalIEEE Transactions on Automatic Control
Issue number4
Publication statusPublished - Apr 2020


  • Best linear approximation (BLA)
  • nonlinear systems
  • process noise
  • system identification


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