Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Distributed Loads: Problem Solving

Distributed Loads: Problem Solving

Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...

Distributed Loads

Distributed Loads

Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...

Multimachine Stability

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:

Control Systems

Control Systems

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...

Feedback control systems

Feedback control systems

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...

Distribution Reliability and Automation

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...

You might also read

Related Articles

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

Sort by

Same author

<i>In vitro</i>and<i>in vivo</i>study of magnesium containing bioactive glass nanoparticles modified gelatin scaffolds for bone repair.

Biomedical materials (Bristol, England)·2022

Same author

Concentrically Encapsulated Dual-Enzyme Capsules for Synergistic Metabolic Disorder Redressing and Cytotoxic Intermediates Scavenging.

Nanomaterials (Basel, Switzerland)·2022

Same author

Investigation of Using Sky Openness Ratio as Predictor for Navigation Performance in Urban-like Environment to Support PBN in UTM.

Sensors (Basel, Switzerland)·2022

Same author

Salt crust-assisted thermal decomposition method for direct and simultaneous quantification of polypropylene microplastics and organic contaminants in high organic matter soils.

Analytica chimica acta·2022

Same author

F-box protein 17 promotes glioma progression by regulating glycolysis pathway.

Bioscience, biotechnology, and biochemistry·2022

Same author

AlzCode: a platform for multiview analysis of genes related to Alzheimer's disease.

Bioinformatics (Oxford, England)·2022

Search research articles

Related Experiment Video

Updated: Nov 9, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

Learning-Based Distributed Resilient Fault-Tolerant Control Method for Heterogeneous MASs Under Unknown Leader

Chao Deng, Xiao-Zheng Jin, Wei-Wei Che

IEEE Transactions on Neural Networks and Learning Systems

|April 16, 2021

Summary

This study addresses resilient consensus in multiagent systems (MASs) facing physical failures and denial-of-service (DoS) attacks. A data-driven learning approach enables agents to achieve consensus despite unknown leader dynamics and cyber threats.

More Related Videos

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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

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

Related Experiment Videos

Last Updated: Nov 9, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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

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

Area of Science:

Control Systems Engineering
Cyber-Physical Systems
Distributed Computing

Background:

Consensus in multiagent systems (MASs) is crucial for coordinated behavior.
Existing methods often assume known system dynamics and are vulnerable to physical failures and denial-of-service (DoS) attacks.
Heterogeneous MASs present additional challenges due to differing agent dynamics.

Purpose of the Study:

To address the distributed fault-tolerant resilient consensus problem in heterogeneous MASs.
To develop a method for learning unknown leader dynamics under DoS attacks.
To design controllers that ensure consensus despite physical failures and DoS attacks.

Main Methods:

A data-driven, distributed resilient learning algorithm is proposed to identify the unknown leader's dynamic model.
A distributed resilient estimator is designed for each agent to track the leader's states.
An adaptive fault-tolerant resilient controller is developed to mitigate failures and attacks.

Main Results:

The proposed learning-based algorithm successfully learns the unknown leader dynamics under DoS attacks.
The designed resilient estimator accurately estimates the leader's states.
The adaptive controller effectively ensures fault tolerance and resilience against physical failures and DoS attacks.

Conclusions:

The proposed learning-based fault-tolerant resilient control method enables consensus achievement in heterogeneous MASs.
The approach is effective even when the leader's dynamic model is unknown to followers.
Simulation results validate the proposed method's effectiveness in complex operational environments.