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

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
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

422
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...
422
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

722
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...
722
Fault Types01:18

Fault Types

428
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...
428
Chemical Agents for Microbial Control01:27

Chemical Agents for Microbial Control

1.0K
Chemicals play important roles in controlling microbial growth by targeting microbial structures and functions as sanitizers, antiseptics, disinfectants, and sterilants.Alcohols are commonly used sanitizers, effectively disrupting lipid membranes, which compromises cell integrity. They are also used as antiseptics and disinfectants due to their rapid action and versatility.Phenols and their derivatives phenolics , known for denaturing proteins and disrupting cell membranes, are particularly...
1.0K

You might also read

Related Articles

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

Sort by
Same author

Observer-based false data injection attack resilient event-triggered control of microgrid load frequency control system.

ISA transactions·2025
Same author

A Path towards Timely VAP Diagnosis: Proof-of-Concept Study on Pyocyanin Sensing with Cu-Mg Doped Graphene Oxide.

Biosensors·2024
Same author

Deep reinforcement learning-based control of chemo-drug dose in cancer treatment.

Computer methods and programs in biomedicine·2023
Same author

Ambulatory extracorporeal membrane oxygenation simulator: The next frontier in clinical training.

Perfusion·2023
Same author

Quantification of the growth suppression of HER2+ breast cancer colonies under the effect of trastuzumab and PD-1/PD-L1 inhibitor.

Frontiers in oncology·2022
Same author

AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives.

Artificial intelligence review·2022
Same journal

A robust ATUB-Net for bearing fault diagnosis under unbalanced sample scenarios.

ISA transactions·2026
Same journal

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

ISA transactions·2026
Same journal

Predefined-time affine formation tracking control of unmanned surface vehicles with input saturation via adaptive fuzzy observers.

ISA transactions·2026
Same journal

Adaptive fault-tolerant safety-guaranteed fuzzy event-triggered rendezvous control for heterogeneous USV-UUV systems.

ISA transactions·2026
Same journal

Two-stage maximum likelihood weighted recursive least squares algorithm for nonlinear systems and an application in wind tunnel systems.

ISA transactions·2026
Same journal

Enhancing interpretable soft sensing with embedded hybrid modeling: the GraphTrans approach for industrial processes.

ISA transactions·2026
See all related articles

Related Experiment Video

Updated: Feb 1, 2026

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

2.2K

Distributed simultaneous fault detection and leader-following consensus control for multi-agent systems.

Shahram Hajshirmohamadi1, Farid Sheikholeslam1, Nader Meskin2

  • 1Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.

ISA Transactions
|December 12, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a unified module for simultaneous fault detection and leader-following consensus control in multi-agent systems. The method effectively isolates faulty agents and identifies fault types (sensor or actuator) using finite frequency H∞ and H- performance indices.

Keywords:
Distributed fault detectionLeader–follower consensusMulti-agent systemsSimultaneous fault detection and control

More Related Videos

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
09:19

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy

Published on: August 29, 2025

611
Author Spotlight: Expanding the Scope of Multiplex Immunoassays for Lyme Borreliosis Diagnostics and Pathogen Research
05:25

Author Spotlight: Expanding the Scope of Multiplex Immunoassays for Lyme Borreliosis Diagnostics and Pathogen Research

Published on: July 14, 2023

2.0K

Related Experiment Videos

Last Updated: Feb 1, 2026

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

2.2K
Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
09:19

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy

Published on: August 29, 2025

611
Author Spotlight: Expanding the Scope of Multiplex Immunoassays for Lyme Borreliosis Diagnostics and Pathogen Research
05:25

Author Spotlight: Expanding the Scope of Multiplex Immunoassays for Lyme Borreliosis Diagnostics and Pathogen Research

Published on: July 14, 2023

2.0K

Area of Science:

  • Control Systems Engineering
  • Networked Systems
  • Robotics

Background:

  • Distributed multi-agent systems require robust control and fault detection.
  • Existing methods often use separate fault detection and control modules, increasing complexity.
  • Leader-following consensus control is crucial for coordinated agent behavior.

Purpose of the Study:

  • To develop a single module for simultaneous fault detection and leader-following consensus control (SFDLCC) in multi-agent networks.
  • To enhance fault isolation and fault type identification (sensor vs. actuator).
  • To attenuate the effects of unknown inputs on tracking error and residual signals.

Main Methods:

  • Design of an SFDLCC module for each agent using extended linear matrix inequality (LMI) techniques.
  • Integration of neighboring agent data and local relative measurements.
  • Application of finite frequency H∞ and H- performance indices for disturbance and fault attenuation/enhancement.

Main Results:

  • A unified module successfully performs both fault detection and consensus control.
  • The proposed method effectively attenuates disturbances and noise effects.
  • Faulty agents are isolated, and the fault type (sensor or actuator) is identified.
  • Finite frequency performance indices ensure desired H∞ and H- properties.

Conclusions:

  • The integrated SFDLCC approach offers a more efficient solution compared to separate modules.
  • The methodology provides robust performance in the presence of faults, disturbances, and noise.
  • Simulation results validate the effectiveness of the proposed approach for networked multi-agent systems.