A MoliZoft System Identification Approach of the Just Walk Data

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Date
2017
Author
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Abstract
A system identification approach is used estimate linear time invariant models from the data of physical activity gathered in the Just Walk intervention conducted by the Designing Health Lab and the Control Systems Laboratory at Arizona State University A class of identification algorithms proposed elsewhere by one of the authors, denoted as MoliZoft, was reformulated and adapted to estimate models from data gathered in this experience. In this paper, the identification algorithms are described and the best models estimated for a particular participant are analysed and used to improve the results in future experiments. © 2017
  1. behavioural sciences
  2. Least squares identification
  3. Output error identification
  4. Prediction error methods
  5. Social
  6. System identification
  7. Behavioral research
  8. Health
  9. Least squares approximations
  10. Linear control systems
  11. Religious buildings
  12. Behavioural science
  13. Least squares identification
  14. Output error identification
  15. Prediction error method
  16. Social
  17. Identification (control systems)
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044864674&doi=10.1016%2fj.ifacol.2017.08.2060&partnerID=40&md5=9ebbe3a26db4ec86737fc46e41501233
https://repositorio.maua.br/handle/MAUA/797
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