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

392
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...
392
Control Systems: Applications01:25

Control Systems: Applications

1.1K
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
1.1K
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.6K
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...
1.6K
Control System Problem01:21

Control System Problem

406
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
406
Control Systems01:10

Control Systems

1.8K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.8K
Feedback control systems01:26

Feedback control systems

687
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...
687

You might also read

Related Articles

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

Sort by
Same author

Early-life exposures and risk of multiple gynecological diseases: evidence from a large community-based study of 272,706 women.

BMC women's health·2026
Same author

CD68<sup>+</sup> tumor-associated macrophages exhibit prognostic value in surgically resected small cell lung cancer: a retrospective cohort study of 614 patients.

Cancer immunology, immunotherapy : CII·2026
Same author

Scaled containment control for first/second-order multi-agent systems in a noisy environment.

ISA transactions·2026
Same author

A novel high-sensitivity TaqMan qPCR assay reveals amdoparvovirus DNA in zoo-housed small mammals in southern China.

Veterinary research communications·2026
Same author

Corneal Stromal Microdots in Dry Eye Disease: Clinical Characterization and Associations With Corneal Nerve Parameters.

Translational vision science & technology·2026
Same author

Enhanced Multiagent Reinforcement-Learning-Aided Adaptive Fractional-Order EADRC for Load Frequency Control of Multiarea Power Systems.

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
Same journal

Relaxed Stability Conditions for Model Predictive Control of Hybrid Dynamical Systems Using Hybrid Recurrent Neural Networks.

IEEE transactions on cybernetics·2026
See all related articles

Related Experiment Video

Updated: Jan 16, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.1K

Dual-Link Coded Event-Triggered Control for Nonlinear Multiagent Systems.

Zekun Xu, Ruihang Ji, Qinglei Hu

    IEEE Transactions on Cybernetics
    |October 1, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces dual-link coded event-triggered control (DL-CEC) and adaptive prescribed performance (APP) for nonlinear multiagent systems. The approach ensures consensus tracking with reduced communication costs and guaranteed performance, regardless of initial conditions.

    More Related Videos

    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
    11:18

    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

    Published on: March 2, 2015

    10.8K
    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

    Published on: August 15, 2020

    5.4K

    Related Experiment Videos

    Last Updated: Jan 16, 2026

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

    5.1K
    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
    11:18

    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

    Published on: March 2, 2015

    10.8K
    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

    Published on: August 15, 2020

    5.4K

    Area of Science:

    • Control Systems Engineering
    • Networked Systems
    • Nonlinear Dynamics

    Background:

    • Multiagent systems require efficient communication and robust control, especially with nonlinear dynamics.
    • Traditional control methods struggle with initial condition variations and communication burdens.
    • Ensuring performance constraints in nonlinear systems under dynamic conditions is challenging.

    Purpose of the Study:

    • To develop a novel control strategy for achieving consensus in nonlinear multiagent systems.
    • To reduce communication load and enhance information security in distributed control systems.
    • To guarantee prescribed performance and accommodate arbitrary initial conditions.

    Main Methods:

    • Development of a dual-link coded event-triggered control (DL-CEC) scheme for information compression and security.
    • Introduction of an adaptive prescribed performance (APP) scheme using auxiliary functions to dynamically adjust performance boundaries.
    • Integration of DL-CEC with APP to ensure bounded consensus tracking.

    Main Results:

    • The proposed DL-CEC strategy effectively compresses information, reducing communication costs.
    • The APP scheme successfully adapts to varying initial conditions, ensuring performance constraints.
    • The integrated control strategy achieves bounded consensus tracking under arbitrary initial conditions.

    Conclusions:

    • The combined DL-CEC and APP method provides an effective solution for consensus control in nonlinear multiagent systems.
    • The approach significantly reduces communication overhead while maintaining robust performance.
    • Simulation results validate the feasibility and effectiveness of the proposed control strategy.