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

427
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...
427
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

178
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...
178
Open and closed-loop control systems01:17

Open and closed-loop control systems

999
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...
999
Control Systems01:10

Control Systems

1.4K
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...
1.4K
Controller Configurations01:22

Controller Configurations

149
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
149
PD Controller: Design01:26

PD Controller: Design

352
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
352

You might also read

Related Articles

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

Sort by
Same author

Pole-Dynamics Attacks Detection in Multiagent Systems by Distributed Additive Watermarking.

IEEE transactions on cybernetics·2026
Same author

Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

Stealthy Measurement-Aided Pole-Dynamics Attacks With Nominal Models.

IEEE transactions on cybernetics·2024
Same author

Lentinan mitigates pemetrexed chemoresistance by the PI3K/Akt pathway in non-small cell lung cancer.

Cell biochemistry and biophysics·2024
Same author

A Novel Scalable and Reliable Control for DC Microgrids With Varying Number of Agents.

IEEE transactions on cybernetics·2024
Same author

SP3-induced Timeless transcription contributes to cell growth of lung adenocarcinoma cells.

PloS one·2024

Related Experiment Video

Updated: Sep 12, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.8K

Observer-Based Adaptive Decentralized Control for Interconnected Time-Delay Nonlinear Fully Actuated Systems With

Peng Wang, Minrui Fei, Qing Sun

    IEEE Transactions on Cybernetics
    |August 7, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study presents an observer-based adaptive decentralized control strategy for uncertain nonlinear systems with actuator failures. The proposed method ensures system stability despite unknown gains and time delays.

    More Related Videos

    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

    4.7K
    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

    5.0K

    Related Experiment Videos

    Last Updated: Sep 12, 2025

    Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
    06:45

    Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

    Published on: October 28, 2022

    1.8K
    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

    4.7K
    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

    5.0K

    Area of Science:

    • Control Systems Engineering
    • Nonlinear Systems Theory
    • Adaptive Control

    Background:

    • Decentralized control is crucial for large-scale interconnected systems.
    • Handling uncertainties like actuator failures and unknown gains is challenging.
    • Observer-based control is needed when states are not directly measurable.

    Purpose of the Study:

    • To develop an observer-based adaptive decentralized control for uncertain nonlinear interconnected fully actuated systems (FAS).
    • To address nonsmooth actuator dynamics, including failures and unknown control gains.
    • To ensure robust stability in the presence of time delays and uncertainties.

    Main Methods:

    • Construction of a dynamic state observer using dynamic gain scaling.
    • Design of an adaptive decentralized output feedback controller via the high-order FAS (HOFAS) approach.
    • Derivation of a closed-loop structure accounting for actuator effectiveness loss, unknown gains, and uncertainties.

    Main Results:

    • A control strategy that incorporates actuator failures and unknown control gains.
    • Effective removal of time-delay effects using Lyapunov-Krasovskii (L-K) functionals.
    • Demonstrated convergence of all signals to a bounded region in the closed-loop system.

    Conclusions:

    • The proposed observer-based adaptive decentralized control is effective for uncertain nonlinear interconnected FAS.
    • The strategy successfully handles actuator failures, unknown gains, and time delays.
    • Simulation examples confirm the robustness and efficacy of the developed control approach.