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

Exploiting the spatiotemporal correlation in adaptive optics using data-driven H2-optimal control.

Karel Hinnen1, Michel Verhaegen, Niek Doelman

  • 1Delft Center for Systems and Control, Delft University of Technology, The Netherlands. k.j.g.hinnen@planet.nl

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|May 12, 2007
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

Malnutrition is associated with poor survival in women receiving radiotherapy for cervical cancer.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society·2025
Same author

Malnutrition is associated with poor survival in women receiving radiotherapy for cervical cancer.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society·2024
Same author

ESTRO-ACROP recommendations for evidence-based use of androgen deprivation therapy in combination with external-beam radiotherapy in prostate cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2023
Same author

Adaptive optics in single objective inclined light sheet microscopy enables three-dimensional localization microscopy in adult <i>Drosophila</i> brains.

Frontiers in neuroscience·2022
Same author

Precision in iterative modulation enhanced single-molecule localization microscopy.

Biophysical journal·2022
Same author

Sparse data-driven wavefront prediction for large-scale adaptive optics.

Journal of the Optical Society of America. A, Optics, image science, and vision·2021
Same journal

Multi-module collaborative optimization-driven fast speckle correlation imaging in variable environments.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Secrecy performance analysis of NOMA-UWOC systems over a vertically stratified WGG oceanic turbulence channel.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Backscattering of plane waves in a composite system containing a rough surface and anisotropic scatterers.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Aspherical surface construction methods based on extended Jacobi polynomials.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

OCT sidelobe suppression method based on dual-path phase sinusoidal modulation and minimum value fusion.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Optical design concepts using wavelength-selective diffractive optics to enable miniaturized multimodal endoscopic imaging across separated spectral ranges.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
See all related articles

This study demonstrates a new data-driven H2-optimal control for adaptive optics (AO) systems. This advanced control exploits wavefront spatiotemporal correlations, potentially reducing temporal errors in AO systems.

Area of Science:

  • Optics and Photonics
  • Control Systems Engineering
  • Signal Processing

Background:

  • Traditional adaptive optics (AO) control laws often ignore wavefront temporal dynamics.
  • Existing methods may not fully leverage spatiotemporal correlations in wavefront data.

Purpose of the Study:

  • To demonstrate a novel data-driven H2-optimal control approach for adaptive optics (AO) systems.
  • To exploit wavefront spatiotemporal correlations without assuming decoupling.

Main Methods:

  • Developed a data-driven identification procedure to estimate system parameters from measurement data.
  • Analyzed wavefront sensor (WFS) dynamics, simplifying the transfer function to a two-tap impulse response.
  • Derived an analytical expression for the optimal controller based on atmospheric disturbance models.

Related Experiment Videos

Main Results:

  • Successfully demonstrated the data-driven H2-optimal control on a laboratory setup.
  • The proposed controller exploits spatiotemporal wavefront correlations effectively.
  • Optimal control demonstrated a potential reduction in temporal errors compared to standard AO control.

Conclusions:

  • The data-driven H2-optimal control approach offers improved performance in AO systems.
  • This method effectively utilizes wavefront spatiotemporal information.
  • Reduced temporal error is a key advantage of this novel control strategy.