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

On the development and application of a continuous-discrete recursive prediction error algorithm.

J D Stigter1, M B Beck

  • 1Systems and Control Group, Wageningen University and Research Center, Bornsesteeg 59, Wageningen 6708 PD, The Netherlands. hans.stigter@wur.nl

Mathematical Biosciences
|September 15, 2004
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

A small dynamic leaf-level model predicting photosynthesis in greenhouse tomatoes.

PloS one·2023
Same author

Assessing the role of initial conditions in the local structural identifiability of large dynamic models.

Scientific reports·2021
Same author

An efficient procedure to assist in the re-parametrization of structurally unidentifiable models.

Mathematical biosciences·2020
Same author

On Eupatorium and Serpentaria.

Confederate States medical and surgical journal·2019
Same author

Determining minimal output sets that ensure structural identifiability.

PloS one·2018
Same author

Observability of Complex Systems: Finding the Gap.

Scientific reports·2017
Same journal

The hydra and hormetic effects in a single discrete-time overcompensation model.

Mathematical biosciences·2026
Same journal

Seasonal impacts on brucellosis transmission mediated by live sheep supply-demand dynamics.

Mathematical biosciences·2026
Same journal

Optimal controls and cost-effectiveness analysis on the transmission dynamics of early blight disease in tomatoes.

Mathematical biosciences·2026
Same journal

Temperature-dependent dynamics and allee effect thresholds mediate fourfold cusp stability in biological control of invasive vectors.

Mathematical biosciences·2026
Same journal

Dynamics of a stochastic tumor-immune interaction system with an Ornstein-Uhlenbeck process.

Mathematical biosciences·2026
Same journal

Post-peak dynamics and epidemic overshoot in SIR-type frameworks.

Mathematical biosciences·2026
See all related articles

This study introduces a new continuous-discrete recursive prediction error algorithm for control theory. It offers a potential alternative to the extended Kalman filter in environmental and biological applications.

Area of Science:

  • Control Theory
  • Environmental Science
  • Biological Systems

Background:

  • Recursive state and parameter reconstruction is a key area in control theory.
  • Existing methods like the extended Kalman filter are widely used but may have limitations.

Purpose of the Study:

  • To derive and present a continuous-discrete version of the recursive prediction error algorithm.
  • To explore its application as an alternative to the extended Kalman filter in environmental and biological contexts.

Main Methods:

  • Derivation of the algorithm using the 'innovations-format' framework for continuous-time systems with discrete-time measurements.
  • Application to hypothetical and real-world case studies.

Main Results:

Related Experiment Videos

  • Successful application of the derived algorithm to reconstruct biokinetic parameters.
  • Demonstrated effectiveness in characterizing the dynamics of a UK river system.

    • Conclusions:

    • The proposed continuous-discrete recursive prediction error algorithm is a viable alternative to the extended Kalman filter.
    • It shows promise for parameter estimation in complex environmental and biological systems.