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

Linear time-invariant Systems01:23

Linear time-invariant Systems

899
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
899
Linear Momentum in Control Volume01:13

Linear Momentum in Control Volume

1.3K
Newton's second law is applied to obtain the linear momentum in a control volume in a fluid system. According to this law, the rate of change of linear momentum is equal to the sum of external forces acting on the system. When a control volume matches the fluid system at a specific moment, the forces acting on both are identical. Reynolds transport theorem helps explain this by breaking down the system's linear momentum into two components: the rate of change of linear momentum within...
1.3K
Control Systems01:10

Control Systems

1.9K
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...
1.9K
Control Systems: Applications01:25

Control Systems: Applications

1.2K
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...
1.2K
Feedback control systems01:26

Feedback control systems

710
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...
710
Fault Types01:18

Fault Types

422
When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
For line-to-line faults occurring between phases B and C, the...
422

You might also read

Related Articles

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

Sort by
Same author

Digital Redesign-Based Interval State Estimation for Continuous Systems With Aperiodic Discrete Measurements.

IEEE transactions on cybernetics·2026
Same author

Joint Estimation of States, Sparse Sensor Attacks, and Unknown Inputs in Discrete-Time Cyber-Physical Systems.

IEEE transactions on cybernetics·2026
Same author

Improved Results for T-S Fuzzy Systems With Periodically Varying Delays via a Generalized Delay Derivative-Dependent Reciprocally Convex Matrix Inequality.

IEEE transactions on cybernetics·2026
Same author

Optimal Stealthy Attacks Against Remote State Estimation in Cyber-Physical Systems: A More Fine-Grained Stealthiness.

IEEE transactions on cybernetics·2025
Same author

Optimal Sensor Grouping Transmission Strategy for Multiple Processes Over Packet-Dropping Channels.

IEEE transactions on cybernetics·2025
Same author

Resilient Collision-Free Distributed Optimal Coordination for Multiple Euler-Lagrangian Systems Under Unreliable Communication Topologies.

IEEE transactions on cybernetics·2025
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 27, 2026

Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves
06:26

Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves

Published on: January 12, 2024

756

Fault-Tolerant Consensus Tracking Control for Linear Multiagent Systems Under Switching Directed Network.

Xin Wang, Guang-Hong Yang

    IEEE Transactions on Cybernetics
    |March 21, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a cooperative fault-tolerant control (CFTC) approach for networked systems facing actuator faults. The method ensures reliable coordination and tracking performance even with switching network topologies and communication issues.

    More Related Videos

    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

    2.1K
    The Role of Fabric in Frictional Properties of Phyllosilicate-Rich Tectonic Faults
    07:39

    The Role of Fabric in Frictional Properties of Phyllosilicate-Rich Tectonic Faults

    Published on: November 6, 2021

    3.6K

    Related Experiment Videos

    Last Updated: Jan 27, 2026

    Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves
    06:26

    Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves

    Published on: January 12, 2024

    756
    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

    2.1K
    The Role of Fabric in Frictional Properties of Phyllosilicate-Rich Tectonic Faults
    07:39

    The Role of Fabric in Frictional Properties of Phyllosilicate-Rich Tectonic Faults

    Published on: November 6, 2021

    3.6K

    Area of Science:

    • Control Systems Engineering
    • Networked Systems
    • Fault-Tolerant Control

    Background:

    • Leader-follower networks are susceptible to actuator faults, impacting system performance.
    • Designing distributed control laws for time-varying, asymmetrical network structures presents significant challenges.

    Purpose of the Study:

    • To develop a cooperative fault-tolerant control (CFTC) approach for linear leader-follower networks with multiple heterogeneous actuator faults.
    • To ensure reliable coordination and global tracking error convergence despite network uncertainties and failures.

    Main Methods:

    • A novel distributed-reference-observer-based fault-tolerant tracking control approach is proposed.
    • Distributed reference observers are constructed using neighborhood state information for leader state estimation.
    • A decentralized adaptive fault-tolerant tracking controller is designed for global synchronization.

    Main Results:

    • The proposed approach guarantees asymptotic convergence of global tracking errors in the presence of actuator failures.
    • The CFTC approach effectively addresses reliable coordination under switching directed topologies and intermittent communications.
    • The method is validated through application to a networked aircraft system.

    Conclusions:

    • The developed distributed-reference-observer-based CFTC approach provides a robust solution for networked systems with actuator faults.
    • The strategy ensures reliable tracking and coordination in complex, dynamic network environments.
    • This research contributes to enhancing the resilience and performance of networked control systems.