Control-Relevant Design of System Identification Experiments to Improve Behavioral Interventions

César A. Martín, Daniel Rivera, Eric B. Hekler

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents the design of system identification experiments for physical activity behavioral interventions, utilizing a control-relevant identification test monitoring approach. The goal is to find, in real-time, the shortest possible experiment with sufficient information for identification meeting robust performance conditions. The procedure considers multisinusoidal periodic inputs, and allows modifications on the amplitude and harmonic related frequency content of input signals after each periodic evaluation cycle. The local polynomial method (LPM) is utilized for the computation of transfer function and estimation uncertainties. An improved stopping criterion is formulated relying on robust performance metrics. The procedure is tested through a simulation study relying on a hypothetical system based on a real behavioral intervention.

Original languageEnglish (US)
Pages (from-to)15115-15120
Number of pages6
JournalIFAC-PapersOnLine
Volume50
Issue number1
DOIs
StatePublished - Jul 2017

Keywords

  • Model formulation
  • excitation design
  • experiment design
  • frequency domain identification
  • identification
  • identification for control
  • input
  • validation

ASJC Scopus subject areas

  • Control and Systems Engineering

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