Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A new algorithm for the identification of multiple input Wiener systems.

D T Westwick1, R E Kearney

  • 1Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada.

Biological Cybernetics
|January 1, 1992
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Response to Hughes et al., critique of our study on the effects of large-scale closures in the GBR.

Ecological applications : a publication of the Ecological Society of America·2016
Same author

Large-scale expansion of no-take closures within the Great Barrier Reef has not enhanced fishery production.

Ecological applications : a publication of the Ecological Society of America·2015
Same author

Automated analysis of respiratory behavior in extremely preterm infants and extubation readiness.

Pediatric pulmonology·2015
Same author

A new movement artifact detector for photoplethysmographic signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2013
Same author

Quantitative assessment of ankle joint dynamics during recovery from injury.

Clinical biomechanics (Bristol, Avon)·2013
Same author

System identification of human ankle dynamics: intersubject variability and intrasubject reliability.

Clinical biomechanics (Bristol, Avon)·2013

New algorithms improve the estimation of linear subsystems in multiple-input Wiener systems. These methods enhance accuracy for identifying system dynamics, even with output noise.

Area of Science:

  • Systems Engineering
  • Signal Processing
  • Nonlinear Dynamics

Background:

  • Multiple-input Wiener systems involve linear dynamic elements feeding into a static nonlinearity.
  • Previous work by Korenberg (1985) utilized cross-covariance functions for system identification.
  • Korenberg's approach involved a linear-nonlinear-linear (LNL) structure.

Purpose of the Study:

  • To improve linear subsystem estimates in multiple-input Wiener systems.
  • To develop algorithms for identifying the complete Wiener system structure.
  • To enhance the accuracy of system dynamics estimation.

Main Methods:

  • Development of three novel algorithms for Wiener system identification.
  • Utilizing cross-covariance functions for estimating linear subsystem parameters.

Related Experiment Videos

  • Focusing on the simpler Wiener structure to improve upon LNL models.

    • Main Results:

    • The developed algorithms can identify any multiple-input Wiener system.
    • Simulation results demonstrate robustness in the presence of output noise.
    • The algorithms provide accurate estimates of system dynamics across various conditions.

    Conclusions:

    • The proposed algorithms offer improved linear subsystem estimation for Wiener systems.
    • The methods are effective and robust, even with noisy outputs.
    • This work advances the identification of complex nonlinear dynamic systems.