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

308
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:
308
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

764
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....
764
Linear time-invariant Systems01:23

Linear time-invariant Systems

695
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...
695
Euler Equations of Motion01:19

Euler Equations of Motion

449
Imagine a rigid body that is rotating at an angular velocity of ω within an inertial frame of reference. Along with this, picture a second rotating frame that is attached to the body itself. This frame moves along with the body and possesses an angular velocity of Ω. The total moment about the center of mass is calculated by adding the rate of change of angular momentum about the center of mass in relation to the rotating frame and the cross-product of the body's angular velocity...
449
Transmission-Line Differential Equations01:26

Transmission-Line Differential Equations

563
Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured from...
563
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.3K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Improved molecular diagnosis of the common recurrent intragenic deletion mutation in IKBKG in a Filipino family with incontinentia pigmenti.

The Australasian journal of dermatology·2015
Same author

Soil water capture trends over 50 years of single-cross maize (Zea mays L.) breeding in the US corn-belt.

Journal of experimental botany·2015
Same author

Occurrence, activity and contribution of anammox in some freshwater extreme environments.

Environmental microbiology reports·2015
Same author

Mechanical and Electrical Anisotropy of Few-Layer Black Phosphorus.

ACS nano·2015
Same author

Crystal Violet Lactone Salicylaldehyde Hydrazone Zn(II) Complex: a Reversible Photochromic Material both in Solution and in Solid Matrix.

Scientific reports·2015
Same author

[Removal Kinetics and Mechanism of Aniline by Manganese-oxide-modified Diatomite].

Huan jing ke xue= Huanjing kexue·2015
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: Nov 27, 2025

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

813

Robust Synchronization Control of Switched Networked Euler-Lagrange Systems.

Maobin Lu, Lu Liu

    IEEE Transactions on Cybernetics
    |December 7, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method for synchronizing networked uncertain Euler-Lagrange systems, overcoming challenges like network delays and switching networks for more practical applications.

    More Related Videos

    Interactive and Visualized Online Experimentation System for Engineering Education and Research
    08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

    2.8K
    The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
    11:53

    The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

    Published on: October 14, 2017

    12.0K

    Related Experiment Videos

    Last Updated: Nov 27, 2025

    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

    813
    Interactive and Visualized Online Experimentation System for Engineering Education and Research
    08:35

    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

    2.8K
    The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
    11:53

    The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

    Published on: October 14, 2017

    12.0K

    Area of Science:

    • Robotics and Control Systems
    • Networked Systems Engineering
    • Applied Mathematics

    Background:

    • Networked control systems face challenges from disturbances, network delays, and switching topologies.
    • Existing synchronization methods often lack the practicality to address these combined complexities.
    • Euler-Lagrange systems are fundamental in robotics and require robust control for networked operations.

    Purpose of the Study:

    • To develop a robust adaptive distributed control strategy for synchronizing networked uncertain Euler-Lagrange systems.
    • To address the practical challenges of disturbances, network delays, and uniformly connected switching networks.
    • To enhance the applicability of synchronization techniques in real-world networked robotic systems.

    Main Methods:

    • Established a lemma for the convergence of piecewise continuous functions under switching networks.
    • Proved the input-to-state stability (ISS) property for perturbed time-delay systems.
    • Designed an adaptive distributed control law based on the certainty equivalence principle.

    Main Results:

    • Successfully demonstrated distributed estimation of leader system matrices via delayed and switched network communication.
    • Developed a novel adaptive control law that ensures synchronization under complex network conditions.
    • Validated the proposed approach through synchronization control of four three-link cylindrical arms.

    Conclusions:

    • The proposed adaptive distributed control law effectively achieves synchronization for networked uncertain Euler-Lagrange systems.
    • The method provides a more practical and robust solution compared to existing approaches for complex network environments.
    • The successful application to multi-arm robotic systems highlights the technique's real-world potential.