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Related Concept Videos

Distribution Reliability and Automation01:25

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...
Zones of Protection01:16

Zones of Protection

In power systems, the entire setup is divided into protective zones to isolate faults and protect the rest of the network. These zones include generators, transformers, buses, transmission lines, distribution lines, and motors. Each zone can be visualized as a separate room in a house, with each room protected by its own circuit breaker.
Protective zones are defined by closed dashed lines, containing one or more components. A key characteristic of these zones is the strategic placement of...
Distributed Loads: Problem Solving01:21

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

One-Degree-of-Freedom System

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...
Radial System Protection01:23

Radial System Protection

Radial systems employ time-delay overcurrent relays to reduce load interruptions. When a fault occurs, the nearest breaker opens first, while upstream breakers remain closed due to longer delay settings. This approach ensures minimal disruption to the rest of the system.
In a radial system with a fault downstream of the third breaker, ideally, only the third breaker will open, isolating the fault and interrupting the load connected beyond it. The second breaker has a longer delay setting,...
Controller Configurations01:22

Controller Configurations

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.
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Related Experiment Videos

Distributed Security and Safety-Critical Formation Control for Multirobot Systems Subject to Distributed

Lang Zou, Xiangbin Liu, Dechao Gao

    IEEE Transactions on Cybernetics
    |May 19, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a resilient formation control for multirobot systems (MRSs) against denial-of-service (DDoS) attacks. The method ensures safety and formation objectives using distributed barrier certificates and directed acyclic graphs.

    Related Experiment Videos

    Area of Science:

    • Robotics
    • Control Systems
    • Cybersecurity

    Background:

    • Multirobot systems (MRSs) face cybersecurity threats like distributed denial-of-service (DDoS) attacks.
    • Ensuring physical safety and formation control in MRSs under cyberattacks is challenging.

    Purpose of the Study:

    • To propose a novel distributed formation control method for MRSs resilient to DDoS attacks.
    • To guarantee collision avoidance and formation objectives despite communication disruptions.

    Main Methods:

    • A directed acyclic graph (DAG) based distributed formation control approach.
    • Decomposition of centralized safety barrier certificates (from high-order control barrier functions - HOCBFs) into distributed components.
    • Integration of distributed safety certificates into a unified safety constraint for quadratic programming (QP) based control input generation.

    Main Results:

    • The proposed method enhances MRS resilience against DDoS attacks.
    • Formation objectives are achievable if communication topology edges are not fully disrupted.
    • Collision avoidance is guaranteed through distributed safety barrier certificates.

    Conclusions:

    • The novel distributed control method effectively addresses cybersecurity and physical safety challenges in MRSs.
    • The approach is validated through simulations and physical experiments, demonstrating practical applicability.