Probabilistic uncertainty description for an etfe estimated plant using a sequence of multi-sinusoidal signals

Richard Steenis, Daniel Rivera

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper generalizes a probabilistic frequency-domain uncertainty description for an Empirical Transfer Function Estimate (ETFE) model developed by Bayard by using an input signal that is composed of a sequence of distinct multi-sinusoidal signals, instead of a single fixed multi-sinusoidal signal. Each signal in the sequence may have different sinusoidal amplitudes, number of signal periods, and fundamental frequency. The corresponding aggregate ETFE plant estimate for the sequence of multi-sinusoidal signals is developed as well. Besides their usefulness for robust control design, the plant and uncertainty expressions enable the use of adaptive algorithms for input signal adjustment during experimental testing in system identification. The use of adaptive signal algorithms also allows the opportunity to improve plant estimates, shape the probabilistic uncertainty description, and reduce input signal duration based on information learned during identification testing. A series of illustrative examples are included to show the relationship between the properties of the multi-sinusoidal signals in the input sequence and the plant uncertainty description.

Original languageEnglish (US)
Title of host publicationProceedings of the 2010 American Control Conference, ACC 2010
Pages3722-3728
Number of pages7
StatePublished - 2010
Event2010 American Control Conference, ACC 2010 - Baltimore, MD, United States
Duration: Jun 30 2010Jul 2 2010

Other

Other2010 American Control Conference, ACC 2010
CountryUnited States
CityBaltimore, MD
Period6/30/107/2/10

Fingerprint

Transfer functions
Testing
Robust control
Adaptive algorithms
Identification (control systems)
Uncertainty

Keywords

  • ETFE
  • Plant estimation
  • Probabilistic uncertainty description
  • Robust control
  • System identification

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Steenis, R., & Rivera, D. (2010). Probabilistic uncertainty description for an etfe estimated plant using a sequence of multi-sinusoidal signals. In Proceedings of the 2010 American Control Conference, ACC 2010 (pp. 3722-3728). [5530668]

Probabilistic uncertainty description for an etfe estimated plant using a sequence of multi-sinusoidal signals. / Steenis, Richard; Rivera, Daniel.

Proceedings of the 2010 American Control Conference, ACC 2010. 2010. p. 3722-3728 5530668.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Steenis, R & Rivera, D 2010, Probabilistic uncertainty description for an etfe estimated plant using a sequence of multi-sinusoidal signals. in Proceedings of the 2010 American Control Conference, ACC 2010., 5530668, pp. 3722-3728, 2010 American Control Conference, ACC 2010, Baltimore, MD, United States, 6/30/10.
Steenis R, Rivera D. Probabilistic uncertainty description for an etfe estimated plant using a sequence of multi-sinusoidal signals. In Proceedings of the 2010 American Control Conference, ACC 2010. 2010. p. 3722-3728. 5530668
Steenis, Richard ; Rivera, Daniel. / Probabilistic uncertainty description for an etfe estimated plant using a sequence of multi-sinusoidal signals. Proceedings of the 2010 American Control Conference, ACC 2010. 2010. pp. 3722-3728
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