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

1.6K
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...
1.6K
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

236
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
236
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

190
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
190
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

724
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....
724
Linear time-invariant Systems01:23

Linear time-invariant Systems

654
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...
654
Feedback control systems01:26

Feedback control systems

553
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...
553

You might also read

Related Articles

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

Sort by
Same author

CD68<sup>+</sup> tumor-associated macrophages exhibit prognostic value in surgically resected small cell lung cancer: a retrospective cohort study of 614 patients.

Cancer immunology, immunotherapy : CII·2026
Same author

Correction: Early Serum Clusterin Reduction is Associated with Weight Loss and Type 2 Diabetes Remission after Bariatric Surgery.

Obesity surgery·2026
Same author

A novel high-sensitivity TaqMan qPCR assay reveals amdoparvovirus DNA in zoo-housed small mammals in southern China.

Veterinary research communications·2026
Same author

Corneal Stromal Microdots in Dry Eye Disease: Clinical Characterization and Associations With Corneal Nerve Parameters.

Translational vision science & technology·2026
Same author

Microalgae-Based Semiartificial Photosynthesis: Strategies, Applications, and Future Prospects.

Environmental science & technology·2026
Same author

Early Serum Clusterin Reduction is Associated with Weight Loss and Type 2 Diabetes Remission after Bariatric Surgery.

Obesity surgery·2026
Same journal

Relaxed Stability Conditions for Model Predictive Control of Hybrid Dynamical Systems Using Hybrid Recurrent Neural Networks.

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
See all related articles

Related Experiment Video

Updated: Nov 15, 2025

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality
08:09

Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality

Published on: September 3, 2015

11.2K

Time-Synchronized Control for Disturbed Systems.

Dongyu Li, Keng Peng Tee, Lihua Xie

    IEEE Transactions on Cybernetics
    |March 4, 2021
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces time-synchronized control, ensuring all system states converge simultaneously. This novel approach offers precise performance predesign for complex systems, outperforming existing finite-time methods.

    More Related Videos

    Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
    07:59

    Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

    Published on: June 9, 2023

    1.7K
    Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
    09:04

    Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

    Published on: March 16, 2015

    13.1K

    Related Experiment Videos

    Last Updated: Nov 15, 2025

    Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality
    08:09

    Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality

    Published on: September 3, 2015

    11.2K
    Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
    07:59

    Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

    Published on: June 9, 2023

    1.7K
    Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks
    09:04

    Uncovering Beat Deafness: Detecting Rhythm Disorders with Synchronized Finger Tapping and Perceptual Timing Tasks

    Published on: March 16, 2015

    13.1K

    Area of Science:

    • Control Theory
    • Systems Engineering
    • Applied Mathematics

    Background:

    • Finite-time control focuses on reaching the origin within a time limit, but doesn't synchronize state element convergence.
    • Existing methods lack simultaneous convergence guarantees for all system states.

    Purpose of the Study:

    • Introduce and define time-synchronized control for simultaneous state convergence.
    • Develop analytical solutions and robust control laws for time-synchronized systems.
    • Compare time-synchronized control with other finite-time control strategies.

    Main Methods:

    • Formulation of time-synchronized stability using Lyapunov conditions.
    • Derivation of analytical solutions for time-synchronized stable systems.
    • Design of a robust time-synchronized control law for multivariable systems.
    • Comparative numerical simulations.

    Main Results:

    • Sufficient Lyapunov conditions for time-synchronized stability are established.
    • An analytical solution provides quantitative performance predesign capabilities.
    • A robust control law is developed for systems with disturbances and uncertainties.
    • Simulations demonstrate superior time-synchronized features compared to finite/fixed/prescribed-time control.

    Conclusions:

    • Time-synchronized control offers a novel paradigm for simultaneous state convergence.
    • The proposed method enables precise system performance predesign and robust control.
    • This approach enhances control system capabilities beyond traditional finite-time methods.