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

Masking and Demasking Agents01:19

Masking and Demasking Agents

2.5K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
2.5K
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

246
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
246
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

134
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...
134
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

525
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
525
Deindividuation00:57

Deindividuation

26.5K
Deindividuation is a form of social influence on an individual’s behavior such that the individual engages in unusual or non-normal behavior while in a group setting. Why? Because in these group settings, the individual no longer sees themselves as an individual anymore, disinhibiting their behavior and personal restraint.
26.5K
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

14.2K
Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
14.2K

You might also read

Related Articles

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

Sort by
Same author

Integrative omics reveals IbADT6 involvement in chlorogenic acid accumulation and stress tolerance in sweet potato.

Plant physiology and biochemistry : PPB·2026
Same author

Data-driven trajectory tracking control of UAV systems under a novel probability-selection event-triggered mechanism.

ISA transactions·2026
Same author

Light-responsive polyphosphoester nanocarriers for cascade-amplified synergistic photodynamic-chemotherapy of colon cancer.

Colloids and surfaces. B, Biointerfaces·2026
Same author

Social support and emotion regulation self-efficacy in nursing staff during public health emergencies: The mediating role of positive affect.

Acta psychologica·2026
Same author

Stability analysis of impulsive systems with impulse-dependent varying delay: A MDI-based looped functional approach.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Event-triggered control of nonlinear networked control systems via a data-based representation.

ISA transactions·2026

Related Experiment Video

Updated: Aug 4, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.1K

Event-Based Intermittent Formation Control of Multi-UAV Systems Under Deception Attacks.

Tingting Yin, Zhou Gu, Ju H Park

    IEEE Transactions on Neural Networks and Learning Systems
    |April 4, 2023
    PubMed
    Summary

    This study introduces an event-based intermittent control strategy for multi-unmanned aerial vehicle (UAV) systems facing deception attacks. This method conserves computational resources and reduces network bandwidth by optimizing control signal transmission.

    More Related Videos

    Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
    06:19

    Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

    Published on: December 29, 2021

    2.6K
    Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
    06:00

    Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

    Published on: August 27, 2021

    5.4K

    Related Experiment Videos

    Last Updated: Aug 4, 2025

    Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
    07:49

    Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

    Published on: November 26, 2019

    8.1K
    Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
    06:19

    Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

    Published on: December 29, 2021

    2.6K
    Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
    06:00

    Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

    Published on: August 27, 2021

    5.4K

    Area of Science:

    • Robotics and Control Systems
    • Cybersecurity in Autonomous Systems
    • Networked Multi-Agent Systems

    Background:

    • Continuous control strategies for multi-UAV systems are computationally intensive and can strain network bandwidth.
    • Deception attacks pose a significant threat to the stability and performance of coordinated multi-UAV operations.
    • Existing event-triggered mechanisms may generate excessive data due to uncertain disturbances.

    Purpose of the Study:

    • To develop an event-based intermittent formation control strategy for multi-UAV systems under deception attacks.
    • To enhance computational efficiency and reduce network bandwidth requirements compared to continuous control.
    • To mitigate the impact of uncertain disturbances on control triggering and data transmission rates.

    Main Methods:

    • An event-triggered mechanism (ETM) utilizing an averaging method to minimize unnecessary triggers from disturbances.
    • Application of Lyapunov stability theory to derive conditions for achieving predefined formation.
    • Simulation-based validation of the proposed control strategy against deception attacks.

    Main Results:

    • The proposed intermittent control strategy significantly reduces computation resource usage.
    • The event-triggered mechanism effectively minimizes triggering events and lowers the average data-releasing rate.
    • Sufficient conditions for maintaining formation control under deception attacks were successfully derived.

    Conclusions:

    • The event-based intermittent control strategy offers an efficient solution for multi-UAV formation control under deception attacks.
    • The developed ETM balances control performance with resource conservation (computation and bandwidth).
    • The theoretical results are validated, demonstrating the practical applicability of the proposed method.