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

Multimachine Stability01:25

Multimachine Stability

625
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:
625
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

1.1K
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
1.1K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.2K
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...
1.2K
State Space Representation01:27

State Space Representation

724
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
724
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

849
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
849
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

625
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...
625

You might also read

Related Articles

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

Sort by
Same author

Optimized predefined-time control for high-order nonlinear MASs via ICA and reinforcement learning.

ISA transactions·2026
Same author

Data-Driven Optimized Output Regulation for Markov Jump Linear Systems and Its Application.

IEEE transactions on cybernetics·2026
Same author

Turing instability and pattern formation in a diffusive predator-prey system with opportunistic predators and weak Allee effect.

Physical review. E·2026
Same author

Stochastic-Sampling-Based Event-Triggered Control for Switching Reaction-Diffusion Neural Networks.

IEEE transactions on cybernetics·2026
Same author

Passivity and synchronization of fractional-order coupled neural networks with multiple weights: A PD approach.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Reinforcement Learning-Based Formation Control for Uncrewed Surface Vehicles Under Aperiodic DoS Attacks: A Stackelberg-Nash Game Approach.

IEEE transactions on cybernetics·2026
Same journal

An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models.

IEEE transactions on cybernetics·2026
Same journal

A Quantum Self-Attention Neural Network Model on Quantum Circuits.

IEEE transactions on cybernetics·2026
Same journal

Semi-Explicit Solution of Some Discrete-Time Higher-Order-Cost Mean-Field-Type Control.

IEEE transactions on cybernetics·2026
Same journal

A Novel One-Step Small Object Detector for Autonomous Aerial Vehicles.

IEEE transactions on cybernetics·2026
Same journal

Online Data-Driven-Based Optimal Output Tracking Control Without Initial Stabilizing Policy.

IEEE transactions on cybernetics·2026
Same journal

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

IEEE transactions on cybernetics·2026
See all related articles

Related Experiment Video

Updated: Apr 5, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

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

Published on: February 14, 2025

1.2K

Distributed Consensus of Stochastic Delayed Multi-agent Systems Under Asynchronous Switching.

Xiaotai Wu, Yang Tang, Jinde Cao

    IEEE Transactions on Cybernetics
    |August 21, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study addresses distributed exponential consensus in stochastic delayed multi-agent systems with nonlinear dynamics and asynchronous switching. New methods ensure system stability and achieve global exponential consensus despite delays and mode uncertainties.

    Related Experiment Videos

    Last Updated: Apr 5, 2026

    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
    06:04

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

    Published on: February 14, 2025

    1.2K

    Area of Science:

    • Control Theory
    • Systems Engineering
    • Applied Mathematics

    Background:

    • Investigating consensus in multi-agent systems is crucial for coordinated control.
    • Stochastic disturbances and time delays complicate system dynamics.
    • Asynchronous switching, where controller activation lags system mode changes, presents unique challenges.

    Purpose of the Study:

    • To develop a distributed control strategy for achieving global exponential consensus in stochastic delayed multi-agent systems with nonlinear dynamics.
    • To address the complexities introduced by asynchronous switching and stochastic perturbations.
    • To provide verifiable conditions for the existence of effective control.

    Main Methods:

    • Development of a novel comparison principle for stochastic switched delayed systems.
    • Extension of the comparison principle to handle asynchronous switching scenarios.
    • Derivation of easily verifiable conditions for controller existence and system consensus.

    Main Results:

    • A new comparison principle for stochastic switched delayed systems is established.
    • Conditions for achieving global exponential consensus under asynchronous switching are derived.
    • The proposed control method is validated through two illustrative examples.

    Conclusions:

    • The proposed asynchronous switching control strategy effectively achieves global exponential consensus in the studied systems.
    • The derived conditions offer practical guidelines for designing controllers for complex multi-agent systems.
    • The research contributes a robust framework for analyzing and controlling stochastic systems with delays and asynchronous dynamics.