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 Video

Updated: Jul 25, 2025

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

15.0K

Data-driven estimation, tracking, and system identification of deterministic and stochastic optical spot dynamics.

Aleksandar Haber, Michael Krainak

    Optics Express
    |June 29, 2023
    PubMed
    Summary

    This study introduces a data-driven framework for modeling optical spot disturbances and tuning Kalman filters, crucial for stable optical systems. The method enhances disturbance rejection and control in applications like telescopes and optical communication.

    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

    Global network control from local information.

    Chaos (Woodbury, N.Y.)·2024
    Same author

    Active phase locking of a three-aperture array using a corner cube lateral transfer reflector.

    Optics express·2024
    Same author

    Dual-update data-driven control of deformable mirrors using Walsh basis functions.

    Journal of the Optical Society of America. A, Optics, image science, and vision·2022
    Same author

    General approach to precise deformable mirror control.

    Optics express·2021
    Same author

    Modeling, experimental validation, and model order reduction of mirror thermal dynamics.

    Optics express·2021
    Same author

    Modeling and system identification of transient STOP models of optical systems.

    Optics express·2020

    Area of Science:

    • Optics and Photonics
    • Control Systems Engineering
    • Signal Processing

    Background:

    • Stabilization and control of optical beams/spots are critical for advanced optical systems.
    • High-performance disturbance rejection necessitates advanced estimation and data-driven Kalman filter methods.

    Purpose of the Study:

    • To propose a unified, experimentally verified data-driven framework for optical-spot disturbance modeling.
    • To enable data-driven tuning of Kalman filter covariance matrices for improved optical control.

    Main Methods:

    • Covariance estimation, nonlinear optimization, and subspace identification were employed.
    • Spectral factorization methods were used to emulate optical disturbances in a lab setting.
    • A data-driven framework was developed and experimentally validated.

    More Related Videos

    Optical Trap Loading of Dielectric Microparticles In Air
    08:57

    Optical Trap Loading of Dielectric Microparticles In Air

    Published on: February 5, 2017

    9.1K
    Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
    13:02

    Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

    Published on: February 27, 2016

    12.3K

    Related Experiment Videos

    Last Updated: Jul 25, 2025

    A Protocol for Real-time 3D Single Particle Tracking
    10:16

    A Protocol for Real-time 3D Single Particle Tracking

    Published on: January 3, 2018

    15.0K
    Optical Trap Loading of Dielectric Microparticles In Air
    08:57

    Optical Trap Loading of Dielectric Microparticles In Air

    Published on: February 5, 2017

    9.1K
    Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
    13:02

    Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

    Published on: February 27, 2016

    12.3K

    Main Results:

    • The proposed framework effectively models optical-spot disturbances.
    • The approach allows for data-driven tuning of Kalman filter parameters.
    • Experimental validation demonstrated the framework's effectiveness on a piezo-actuated optical setup.

    Conclusions:

    • The developed data-driven framework provides a unified approach to optical disturbance modeling and Kalman filter tuning.
    • This method is essential for advancing control and stabilization in complex optical systems.
    • The findings have implications for ground/space telescopes, optical communication, and beam steering systems.