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

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,...
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...
Frequency Response of a Circuit01:20

Frequency Response of a Circuit

Inductive circuits present intriguing challenges in electrical engineering, particularly during the transition from the time domain to the frequency domain. This transformation involves converting inductors into impedances and utilizing phasor representation.
The transfer function is pivotal in characterizing how these circuits react to various frequencies, facilitating a profound understanding of their behavior. An essential parameter is the time constant, signifying the...
RLC Circuit as a Damped Oscillator01:30

RLC Circuit as a Damped Oscillator

An RLC circuit combines a resistor, inductor, and capacitor, connected in a series or parallel combination.
Consider a series RLC circuit. Here, the presence of resistance in the circuit leads to energy loss due to joule heating in the resistance. Therefore, the total electromagnetic energy in the circuit is no longer constant and decreases with time. Since the magnitude of charge, current, and potential difference continuously decreases, their oscillations are said to be damped. This is...
Gain01:15

Gain

Gain and phase shift are properties of linear circuits that describe the effect a circuit has on a sinusoidal input voltage or current. The circuit's behavior that contains reactive elements will depend on the frequency of the input sinusoid. As a result, it is observed that the gain and phase shift will all be frequency functions.
Gain:
Suppose Vin is the input and Vout is the output signal to a circuit.

You might also read

Related Articles

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

Sort by
Same author

Chimera states on m-directed hypergraphs.

Physical review. E·2026
Same author

High-definition transcranial random noise stimulation enhances fluid intelligence with increasing cortical excitability.

Journal of neural engineering·2026
Same author

After-effects of parieto-occipital gamma transcranial alternating current stimulation on behavioral performance and neural activity in visuo-spatial attention task.

PeerJ·2026
Same author

Optimal interaction functions realizing higher-order Kuramoto dynamics with arbitrary limit-cycle oscillators.

Chaos (Woodbury, N.Y.)·2026
Same author

Single-cell analysis of anchorage-independent growth ability in pancreatic ductal adenocarcinoma cell lines.

BMC research notes·2026
Same author

Phase autoencoder for rapid data-driven synchronization of rhythmic spatiotemporal patterns.

Physical review. E·2026
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: May 18, 2026

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

Adjoint method provides phase response functions for delay-induced oscillations.

Kiyoshi Kotani1, Ikuhiro Yamaguchi, Yutaro Ogawa

  • 1Graduate School of Frontier Science, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwashi, Chiba 277-8563, Japan.

Physical Review Letters
|September 26, 2012
PubMed
Summary
This summary is machine-generated.

We developed a new theory for limit-cycle oscillations caused by time delays. This framework calculates the phase response function for complex systems, revealing multimodal locking behavior in biological oscillators.

More Related Videos

Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
08:08

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

Published on: May 8, 2014

Related Experiment Videos

Last Updated: May 18, 2026

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
08:08

Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

Published on: May 8, 2014

Area of Science:

  • Dynamical Systems and Mathematical Biology
  • Theoretical Physics

Background:

  • Time delays are common in natural and engineered systems, often leading to limit-cycle oscillations.
  • Existing phase-reduction theories are insufficient for systems with time delays and infinite-dimensional phase spaces.

Purpose of the Study:

  • To develop a systematic phase-reduction theory for limit-cycle oscillations induced by time delay.
  • To provide a practical framework for calculating the phase response function (Z(θ)) for such systems.

Main Methods:

  • Developed a theoretical framework applicable to delay differential equations with infinite-dimensional phase spaces.
  • Utilized the adjoint equation and a bilinear form to obtain Z(θ) as a zero eigenfunction.
  • Validated the framework using two distinct biological oscillator models.

Main Results:

  • Successfully calculated the phase response function (Z(θ)) for delay-induced limit cycles.
  • Demonstrated the framework's validity and applicability to biological systems.
  • The derived phase equation accurately predicts multimodal locking behavior.

Conclusions:

  • The proposed framework offers a practical approach to analyzing phase dynamics in systems with time delays.
  • This work advances the understanding of oscillations in complex systems, with implications for biology and physics.
  • The prediction of multimodal locking behavior highlights the unique dynamics introduced by time delays.