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 Concept Videos

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

267
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
267
Feedback control systems01:26

Feedback control systems

564
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
564
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.3K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
1.3K
Linear Momentum in Control Volume01:13

Linear Momentum in Control Volume

1.2K
Newton's second law is applied to obtain the linear momentum in a control volume in a fluid system. According to this law, the rate of change of linear momentum is equal to the sum of external forces acting on the system. When a control volume matches the fluid system at a specific moment, the forces acting on both are identical. Reynolds transport theorem helps explain this by breaking down the system's linear momentum into two components: the rate of change of linear momentum within...
1.2K
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

1.1K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.1K
Actor-Observer Effect01:23

Actor-Observer Effect

142
The actor-observer effect, a cognitive bias closely linked to the fundamental attribution error, refers to the tendency for individuals to attribute their behavior to external, situational factors while explaining others’ behavior in terms of internal, dispositional traits. This asymmetry in attribution significantly influences social perception and judgment.Cognitive Mechanisms Behind the EffectTwo primary psychological mechanisms contribute to the actor-observer effect: differences in...
142

You might also read

Related Articles

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

Sort by
Same author

EGCG alleviates sepsis-induced myocardial injury by regulating macrophage polarization via the TLR4/MyD88/NF-κB pathway.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences·2026
Same author

Corrigendum to "Fermented cordyceps powder alleviates silica-induced inflammation and fibrosis by inhibiting M1 macrophage polarization via the HMGB1-TLR4-NF-κB pathway" [J. Ethnopharmacol. (2025) 345, 119631].

Journal of ethnopharmacology·2026
Same author

The early changed rate of sTg to TSH ratio had superior predictive value in evaluating long-term prognosis for pulmonary metastatistic differentiated thyroid carcinoma.

Future oncology (London, England)·2026
Same author

Establishment and validation of a nomogram model for poorly differentiated thyroid cancer based on the Surveillance, Epidemiology, and End Result database.

Nuclear medicine communications·2026
Same author

Decision-making value of a 1-cm tumor diameter cut-off for postoperative <sup>131</sup>I treatment in papillary thyroid microcarcinoma.

American journal of translational research·2026
Same author

Accelerated Clonal Hematopoiesis and Premature Hematopoietic Aging in Benzene-Exposed Populations.

American journal of hematology·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

Related Experiment Video

Updated: Nov 24, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

7.9K

Event-Based Tracking Consensus for Multiagent Systems With Volatile Control Gain.

Qiang Jia, Wallace K S Tang

    IEEE Transactions on Cybernetics
    |December 22, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces event-based protocols for multiagent systems to achieve tracking consensus, reducing control execution. The findings show average control gain, agent dynamics, and network topology are key for consensus despite fluctuating gains.

    More Related Videos

    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

    15.1K
    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
    10:51

    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

    Published on: March 10, 2011

    14.0K

    Related Experiment Videos

    Last Updated: Nov 24, 2025

    A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
    12:39

    A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

    Published on: January 18, 2020

    7.9K
    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

    15.1K
    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
    10:51

    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

    Published on: March 10, 2011

    14.0K

    Area of Science:

    • Control Theory
    • Networked Systems
    • Robotics

    Background:

    • Multiagent systems require coordinated behavior for tasks.
    • Traditional consensus protocols can be communication-intensive.
    • Event-based control offers efficiency by reducing redundant operations.

    Purpose of the Study:

    • To investigate tracking consensus in multiagent systems with volatile control gains.
    • To develop event-based consensus protocols for efficiency.
    • To analyze the impact of triggering conditions on consensus.

    Main Methods:

    • Formulation of event-based consensus protocols.
    • Application of an extended differential inequality with time-dependent coefficients.
    • Development of criteria for time- and state-dependent triggering conditions.

    Main Results:

    • Tracking consensus is governed by the time average of control gain, agent dynamics, network topology, and triggering conditions.
    • Intermittent strategies like aperiodic on-off control are viable.
    • The requirement for a positive lower bound of control ratios is removed, enhancing flexibility.

    Conclusions:

    • Event-based protocols effectively achieve tracking consensus in directed networks with fluctuating control gains.
    • The developed criteria provide a theoretical basis for designing flexible intermittent control policies.
    • Numerical examples validate the theoretical findings for practical application.