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

Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

970
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
970
Average Velocity01:12

Average Velocity

22.7K
To calculate the other physical quantities in kinematics, we must introduce the time variable. The time variable allows us not only to state the position of the object during its motion, but also how fast it is moving. The speed at which an object is moving is given by the rate at which the position changes with time. For each position xi, we assign a particular time ti. If the details of the motion at each instant are not important, the rate is usually expressed as the average velocity. This...
22.7K
Instantaneous Velocity - II01:10

Instantaneous Velocity - II

12.4K
Instantaneous velocity is the quantity that measures how fast an object is moving along its path. In other words, the instantaneous velocity of an object is the limit of the average velocity as the elapsed time approaches zero, or the derivative of displacement with respect to time. Like average velocity, the instantaneous velocity is a vector with the dimensions of length per unit time. Instantaneous velocity can have both positive and negative values. The instantaneous velocity can be...
12.4K
Escape Velocity01:26

Escape Velocity

8.3K
The escape velocity of an object is defined as the minimum initial velocity that it requires to escape the surface of another object to which it is gravitationally bound and never to return. For example, what would be the minimum velocity at which a satellite should be launched from the Earth's surface such that it just escapes the Earth's gravitational field?
To calculate the escape velocity, it is assumed that no energy is lost to any frictional forces. In practice, a satellite...
8.3K
Velocity Potential01:20

Velocity Potential

720
In steady, incompressible flow through a long, straight pipe with a uniform cross-section, the flow in the central region (far from the pipe walls) is irrotational. This irrotational nature means that fluid particles do not rotate around their axes, and a scalar function called the velocity potential, represented by ϕ, can be used to describe their movement. In irrotational flows, the velocity field V is defined as the gradient of the velocity potential:
720
Drift Velocity01:19

Drift Velocity

5.4K
The high speed of electrical signals results from the fact that the force between charges acts rapidly at a distance. Thus, when a free charge is forced into a wire, the incoming charge pushes other charges ahead due to the repulsive force between like charges. These moving charges move the charges farther down the line. The density of charge in a system cannot easily be increased, so the signal is passed on rapidly. The resulting electrical shock wave moves through the system at nearly the...
5.4K

You might also read

Related Articles

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

Sort by
Same author

Voice disorders in severe obstructive sleep apnea patients and comparison of two acoustic analysis software programs: MDVP and Praat.

Sleep & breathing = Schlaf & Atmung·2020
Same author

Publisher Correction: Alloying conducting channels for reliable neuromorphic computing.

Nature nanotechnology·2020
Same author

Effects of Orem's Self-Care Model on the Life Quality of Elderly Patients with Hip Fractures.

Pain research & management·2020
Same author

Alloying conducting channels for reliable neuromorphic computing.

Nature nanotechnology·2020
Same author

Preoperative squamous cell carcinoma antigen and albumin serum levels predict the survival of patients with stage T1-3N0M0 esophageal squamous cell carcinoma: a retrospective observational study.

Journal of cardiothoracic surgery·2020
Same author

Simple Linear Calculating Method of Glenoid Bone Defects Using 3-Dimensional Computed Tomography Based on an East Asian Population in China.

Orthopaedic journal of sports medicine·2020
Same journal

A Matrix Block-Based Physics-Informed Probabilistic Quality-Relevant Monitoring Model.

IEEE transactions on cybernetics·2026
Same journal

A Knowledge-Guided Weight Optimization Method Based on Augmented Lagrangian for Active Suspension Preview Control.

IEEE transactions on cybernetics·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
See all related articles

Related Experiment Video

Updated: Jan 27, 2026

Ultrasound Velocity Measurement in a Liquid Metal Electrode
08:41

Ultrasound Velocity Measurement in a Liquid Metal Electrode

Published on: August 5, 2015

12.2K

Containment Problem for Multiagent Systems With Nonconvex Velocity Constraints.

Quan Xiong, Qi Zhang, Peng Lin

    IEEE Transactions on Cybernetics
    |March 26, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a distributed algorithm for multiagent systems to achieve containment under nonconvex velocity constraints. The method ensures followers gather within a leader-defined convex area, even with network delays.

    More Related Videos

    Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA
    09:22

    Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA

    Published on: October 31, 2011

    13.5K
    The Use of Chemostats in Microbial Systems Biology
    13:19

    The Use of Chemostats in Microbial Systems Biology

    Published on: October 14, 2013

    31.7K

    Related Experiment Videos

    Last Updated: Jan 27, 2026

    Ultrasound Velocity Measurement in a Liquid Metal Electrode
    08:41

    Ultrasound Velocity Measurement in a Liquid Metal Electrode

    Published on: August 5, 2015

    12.2K
    Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA
    09:22

    Quantitatively Measuring In situ Flows using a Self-Contained Underwater Velocimetry Apparatus SCUVA

    Published on: October 31, 2011

    13.5K
    The Use of Chemostats in Microbial Systems Biology
    13:19

    The Use of Chemostats in Microbial Systems Biology

    Published on: October 14, 2013

    31.7K

    Area of Science:

    • Control Theory
    • Robotics
    • Distributed Systems

    Background:

    • Investigates the containment problem for second-order discrete-time multiagent systems.
    • Addresses challenges posed by nonconvex velocity constraints in multiagent coordination.

    Purpose of the Study:

    • To develop a distributed projection-based algorithm for solving the velocity-constrained containment problem.
    • To ensure follower agents converge to a convex area defined by stationary leaders.

    Main Methods:

    • Employs a distributed projection-based algorithm.
    • Utilizes model transformation techniques, Lyapunov functions, and convexity analysis for theoretical validation.
    • Considers communication delays and switching network topologies.

    Main Results:

    • The proposed algorithm successfully achieves containment for multiagent systems with nonconvex velocity constraints.
    • Guarantees convergence under conditions of communication delays and switching networks, provided specific graph connectivity.
    • Demonstrates the algorithm's efficacy through a simulation example.

    Conclusions:

    • The distributed projection-based algorithm effectively solves the velocity-constrained containment problem in complex network environments.
    • Confirms the robustness of the algorithm against communication delays and dynamic network changes.
    • Provides a foundational method for advanced multiagent coordination tasks.