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

Aperiodic Optimal Linear Estimation for Networked Systems With Communication Uncertainties.

Wen-An Zhang, Michael Z Q Chen, Andong Liu

    IEEE Transactions on Cybernetics
    |April 20, 2017
    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

    Disturbance observer-based predictive formation control of mobile robots under switching topology via neurodynamic optimization.

    ISA transactions·2026
    Same author

    Isolated pulmonary lymphangitic carcinomatosis as the initial manifestation of renal cell carcinoma.

    Radiology case reports·2026
    Same author

    Quantification of feeding intensity and feeding control of largemouth bass based on water surface vibration characteristics.

    Frontiers in artificial intelligence·2026
    Same author

    An Epidemiologic Review of Vascular Complications in Pediatric Posterior Sternoclavicular Dislocations: Implications for "Cardiothoracic Standby".

    Journal of the Pediatric Orthopaedic Society of North America·2026
    Same author

    Selective cobalt and nickel separation by bioacid-mediated electrowinning.

    Science advances·2026
    Same author

    Autophagy in Cancer: Context-Dependent Regulation and Precision Nanomedicine-Enabled Therapeutic Targeting.

    Biomedicines·2026
    Same journal

    A New Human-Likeness and Comfort Index for Robot Movements Along Prescribed Paths.

    IEEE transactions on cybernetics·2026
    Same journal

    Robust Semiglobal and Global Stabilization for Nonlinear Normal Form Systems by Time-Varying Feedback.

    IEEE transactions on cybernetics·2026
    Same journal

    Adaptive Global Asymptotic Output Stabilization of Uncertain Nonlinear Systems Under Dynamic State/Input Quantization.

    IEEE transactions on cybernetics·2026
    Same journal

    Accelerated Distributed Gradient Tracking for Constrained Aggregative Optimization Over Time-Varying Digraphs.

    IEEE transactions on cybernetics·2026
    Same journal

    Small-Gain-Based Plug-and-Play Distributed Control Framework for DC Microgrids With Decentralized Reconfiguration.

    IEEE transactions on cybernetics·2026
    Same journal

    Prescribed-Time Impulsive Control of High-Order Integrator Systems.

    IEEE transactions on cybernetics·2026
    See all related articles

    This study introduces new methods for designing optimal linear estimators in networked systems facing communication delays and data loss. A novel retransmission scheme enhances estimation performance by effectively handling lost measurements.

    Area of Science:

    • Control Systems Engineering
    • Networked Systems
    • Signal Processing

    Background:

    • Networked systems often experience communication uncertainties like delays and data loss, complicating estimation tasks.
    • Nonuniform and asynchronous sampling/estimation further challenge the design of reliable estimators.
    • Existing methods for handling lost data, such as hold-input and zero-input schemes, can be suboptimal.

    Purpose of the Study:

    • To investigate the design of aperiodic optimal linear estimators for networked systems with communication uncertainties.
    • To propose novel approaches for estimator design based on measurement fusion.
    • To improve estimation performance compared to existing methods, particularly in handling data loss.

    Main Methods:

    • Developed two approaches for designing aperiodic estimators using the concept of measurement fusion.

    Related Experiment Videos

  • Utilized measurement augmentation for performance comparison.
  • Introduced a new measurement retransmission scheme to address data loss.

    • Main Results:

    • The proposed measurement fusion-based estimators demonstrate performance equivalent to those designed via measurement augmentation.
    • The novel measurement retransmission scheme significantly improves estimation performance over traditional hold-input and zero-input methods.
    • The new scheme ensures lost measurements are not utilized, preventing performance degradation.

    Conclusions:

    • Aperiodic optimal linear estimators can be effectively designed for uncertain networked systems using measurement fusion.
    • The proposed measurement retransmission strategy offers a superior solution for mitigating data loss impacts on estimation performance.
    • This work provides a robust framework for enhancing estimation accuracy in real-world networked applications.