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

Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass filters, manage...
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

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 finite,...
Open and closed-loop control systems01:17

Open and closed-loop control systems

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 and...
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires careful...
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

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...

You might also read

Related Articles

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

Sort by
Same author

Data-Driven Pattern Formation in Oscillator Networks Using Partial Observations.

Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control·2026
Same author

Control of Oscillator Networks with Mean-Field Measurement: A Hybrid Open/Closed-Loop Approach.

IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society·2026
Same author

Developing Large Language Model-based Pipeline for Identification of Disease Diagnosis: A Case Study on Identifying Newly Diagnosed Multiple Myeloma and its Precursor Disease in Veterans Health Administration Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same author

Differential life expectancies and life years lost associated with multiple myeloma in the United States: a simulation modeling study.

The oncologist·2026
Same author

NIPS: Network Inference with Partial State measurements using forced-delay embedding.

PNAS nexus·2026
Same author

The inferred functional connectome underlying circadian synchronization in the mouse suprachiasmatic nucleus.

Proceedings of the National Academy of Sciences of the United States of America·2025

Related Experiment Video

Updated: May 22, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Antiphase synchronization of phase-reduced oscillators using open-loop control.

Dionisis Stefanatos1, Jr-Shin Li

  • 1Department of Electrical and Systems Engineering, Washington University, St. Louis, Missouri 63130, USA. dionisis@seas.wustl.edu

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|May 17, 2012
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel open-loop control method to achieve antiphase synchronization in nonlinear oscillators. This technique uses precisely timed square pulses to maintain desired synchronization patterns without complex feedback mechanisms.

More Related Videos

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

Related Experiment Videos

Last Updated: May 22, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

Area of Science:

  • Nonlinear dynamics
  • Control theory
  • Synchronization phenomena

Background:

  • Nonlinear oscillators exhibit complex dynamics.
  • Achieving specific synchronization patterns, like antiphase, is challenging.
  • Feedback control for synchronization can be resource-intensive or infeasible.

Purpose of the Study:

  • To present a method for building and maintaining antiphase synchronization.
  • To demonstrate the efficacy of open-loop control for nonlinear oscillator synchronization.
  • To explore synchronization strategies when feedback is limited.

Main Methods:

  • Utilized a sinusoidal phase-reduced model for two nonlinear oscillators.
  • Implemented a common input coupling consisting of square pulses.
  • Varied pulse amplitude and duration to achieve synchronization.

Main Results:

  • Successfully achieved and maintained antiphase synchronization between oscillators.
  • Demonstrated that open-loop control is effective for this purpose.
  • Validated the sinusoidal phase-reduced model under pulsed input.

Conclusions:

  • Open-loop control offers an elegant solution for nonlinear oscillator synchronization.
  • This method is particularly useful when feedback is impractical or costly.
  • The presented technique provides a proof of principle for engineered synchronization patterns.