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

Feedback control systems01:26

Feedback control systems

755
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...
755
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

453
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...
453
Control Systems01:10

Control Systems

2.0K
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...
2.0K
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.9K
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...
1.9K
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

887
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...
887
Second Order systems I01:20

Second Order systems I

680
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
680

You might also read

Related Articles

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

Sort by
Same author

Fixed-time distributed secondary control for voltage/frequency restoration and power sharing in microgrids under switching topologies.

ISA transactions·2026
Same author

The effects of low-molecular-weight fucoidan on the quality of frozen Litopenaeus vannamei.

Journal of the science of food and agriculture·2026
Same author

Adaptive Task-Space Control for Hydraulic Excavators Based on the High-Order Fully Actuated System Approach.

IEEE transactions on cybernetics·2026
Same author

Salivary Proteome-Microbiome Profiling in Burning Mouth Syndrome Might Highlight Mucin-Related Host-Microbe Features.

Journal of oral rehabilitation·2026
Same author

SAND: Spectral-Attention Neural Decoding of Hand Kinematics from Low-Frequency EEG Dynamics.

IEEE transactions on bio-medical engineering·2026
Same author

Biomembrane-Inspired Plasmonic Superstructures with Phenolic-Resin Artificial Pockets for Enantioselective Surface-Enhanced Raman Spectroscopy Detection.

ACS sensors·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: Mar 7, 2026

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

5.5K

Output Feedback Distributed Containment Control for High-Order Nonlinear Multiagent Systems.

Yafeng Li, Changchun Hua, Shuangshuang Wu

    IEEE Transactions on Cybernetics
    |February 7, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a new method for distributed containment control in nonlinear multiagent systems using only output feedback. The approach enhances control design by reducing conservatism and improving applicability to diverse agent dynamics.

    More Related Videos

    Interactive and Visualized Online Experimentation System for Engineering Education and Research
    08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

    3.0K
    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

    5.2K

    Related Experiment Videos

    Last Updated: Mar 7, 2026

    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

    5.5K
    Interactive and Visualized Online Experimentation System for Engineering Education and Research
    08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

    3.0K
    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

    5.2K

    Area of Science:

    • Control Theory
    • Nonlinear Systems
    • Multiagent Systems

    Background:

    • Distributed containment control is crucial for coordinating multiagent systems.
    • High-order nonlinear systems present significant control challenges.
    • Limited state observability (output feedback only) complicates control design.

    Purpose of the Study:

    • To develop an output feedback distributed containment control strategy for high-order nonlinear multiagent systems.
    • To design controllers that are less conservative regarding system nonlinearities.
    • To create a control method applicable to agents with diverse dynamics.

    Main Methods:

    • A novel reduced-order dynamic gain observer is proposed to estimate unmeasured states.
    • Backstepping techniques are employed for designing output feedback controllers.
    • A new first virtual controller strategy is introduced to decouple state estimations.

    Main Results:

    • The observer estimates system states under less conservative conditions than traditional Lipschitz approaches.
    • Designed controllers are independent of neighbors' estimated states (except outputs).
    • The method accommodates agents with significantly different dynamics.

    Conclusions:

    • The proposed output feedback control strategy effectively achieves distributed containment for nonlinear multiagent systems.
    • The observer and controller design enhances robustness and applicability.
    • Numerical simulations validate the method's effectiveness.