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

Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

1.2K
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
1.2K
Criteria for Causality: Bradford Hill Criteria - I01:30

Criteria for Causality: Bradford Hill Criteria - I

1.1K
The Bradford Hill criteria are a group of principles that provide a framework to determine a causal relationship between a specific factor and a disease. There are nine criteria that are pivotal in assessing causality in epidemiological studies. Here's a closer look at Strength, Consistency, Specificity, and Temporality criteria with definitions and examples:
1.1K
Conservation of Mass in Fixed, Nondeforming Control Volume01:07

Conservation of Mass in Fixed, Nondeforming Control Volume

1.6K
The principle of conservation of mass is fundamental in fluid dynamics and is crucial for analyzing flow within fixed control volumes, such as pipes or ducts. This principle states that the total mass within a control volume remains constant unless altered by the inflow or outflow of mass through the control surfaces. This results in a vital relationship for steady, incompressible flow where the mass entering a system equals the mass leaving it.
In the case of a sewer pipe, which can be modeled...
1.6K
Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Euler's Formula for Pin-Ended Columns01:21

Euler's Formula for Pin-Ended Columns

720
In structural engineering, the stability of columns under compressive axial loads is a critical consideration, described as buckling. A typical example involves a column PQ, which is pin-connected at both ends and subjected to a centric axial load F applied at one end, with a reaction force of F' = -F at the other end. Here, it is crucial to understand that when an applied load exceeds the critical load, buckling occurs as the system becomes unstable.
To calculate the critical load, envision...
720
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

399
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
399

You might also read

Related Articles

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

Sort by
Same author

Entropy-Driven Conformational Disorder Enables Outstanding High-Temperature Energy Storage in Dielectric Polymers.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Cover cropping enhances fruit quality in protected citrus cultivation by modulating rhizosphere microbiome and iron availability.

Frontiers in plant science·2026
Same author

Effects of biofilm-coated microplastics on the biological functions of RNA viruses in Mytilus coruscus.

Aquatic toxicology (Amsterdam, Netherlands)·2026
Same author

Rhizobacteria promote plant growth via secretion of N-(3-oxooctanoyl)-L-homoserine lactone.

Horticulture research·2026
Same author

Autonomous pathfinding for underactuated AUVs using FDHNN.

Scientific reports·2026
Same author

Artificial intelligence in food allergen detection and prediction: advances, methodologies, and challenges.

Critical reviews in food science and nutrition·2026

Related Experiment Video

Updated: Jan 29, 2026

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
09:04

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

Published on: March 16, 2015

13.4K

Fixed-time synchronization criteria for complex networks via quantized pinning control.

Wanli Zhang1, Hongfei Li1, Chuandong Li1

  • 1National & Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology (Chongqing); College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.

ISA Transactions
|February 13, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces novel quantized pinning controllers (QPCs) for fixed-time (FDT) synchronization in complex networks (CNs). These controllers reduce costs and conserve resources while ensuring reliable network synchronization.

Keywords:
Complex networksFDT synchronizationNon-chattering controlQuantized pinning control

More Related Videos

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions
05:18

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions

Published on: July 22, 2016

8.9K
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.7K

Related Experiment Videos

Last Updated: Jan 29, 2026

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
09:04

Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

Published on: March 16, 2015

13.4K
Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions
05:18

Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions

Published on: July 22, 2016

8.9K
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.7K

Area of Science:

  • Control Theory
  • Network Science
  • Applied Mathematics

Background:

  • Complex networks (CNs) exhibit intricate dynamics requiring robust synchronization strategies.
  • Fixed-time (FDT) control offers finite-time convergence without requiring prior knowledge of system states.
  • Quantized control introduces challenges in achieving synchronization due to information loss.

Purpose of the Study:

  • To design and analyze novel quantized pinning controllers (QPCs) for achieving fixed-time (FDT) synchronization in complex networks (CNs).
  • To develop control schemes that minimize control cost and conserve channel resources.
  • To investigate the effectiveness of QPCs with and without sign functions in addressing synchronization and chattering phenomena.

Main Methods:

  • Design of new logarithmic quantization-based control schemes for QPCs.
  • Application of Lyapunov stability theory to derive synchronization criteria.
  • Formulation of FDT synchronization conditions using linear matrix inequalities (LMIs).
  • Analysis of QPCs with sign functions for general applicability and without sign functions for chattering mitigation.

Main Results:

  • Several criteria for achieving FDT synchronization in CNs are established using LMIs.
  • The proposed QPCs effectively reduce control cost and channel resource utilization.
  • The QPC without a sign function demonstrates potential in overcoming chattering issues.
  • A numerical example validates the theoretical findings.

Conclusions:

  • The developed QPCs provide an effective and efficient approach for FDT synchronization in complex networks.
  • The control schemes offer flexibility in addressing practical constraints like quantization and chattering.
  • The LMI-based criteria facilitate the analysis and design of synchronization controllers for complex network systems.