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

Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

433
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
433
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

407
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
407
Feedback control systems01:26

Feedback control systems

793
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...
793
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

420
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
420
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

516
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...
516
Transmission-Line Differential Equations01:26

Transmission-Line Differential Equations

1.1K
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...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Spatial dispersion control with Laue-geometry photonic crystals.

Optics express·2025
Same author

Fractal polariton topological insulator.

Optics letters·2025
Same author

Quantum fluids of light in 2D artificial reconfigurable aperiodic crystals with tailored coupling.

Science advances·2025
Same author

Self-accelerating topological edge states.

Nanophotonics (Berlin, Germany)·2025
Same author

Polarization enhancement in Nd:YAG microchip laser with Meta-Mirror output coupler.

Optics letters·2025
Same author

Observation of Nonlinear Topological Corner States Originating from Different Spectral Charges.

Advanced materials (Deerfield Beach, Fla.)·2025

Related Experiment Video

Updated: Mar 31, 2026

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

22.6K

Efficient mode conversion in guiding structures with longitudinal modulation of nonlinearity.

Victor A Vysloukh, Yaroslav V Kartashov, Kestutis Staliunas

    Optics Letters
    |October 16, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study details how power influences guided mode conversion in nonlinear optical structures. Controlling energy exchange and mode weights is key for efficient conversion, revealing complex dynamics like nonharmonic oscillations.

    More Related Videos

    Characterization of Anisotropic Leaky Mode Modulators for Holovideo
    09:36

    Characterization of Anisotropic Leaky Mode Modulators for Holovideo

    Published on: March 19, 2016

    8.4K
    Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
    14:18

    Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

    Published on: February 28, 2016

    12.0K

    Related Experiment Videos

    Last Updated: Mar 31, 2026

    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
    12:14

    The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

    Published on: August 12, 2013

    22.6K
    Characterization of Anisotropic Leaky Mode Modulators for Holovideo
    09:36

    Characterization of Anisotropic Leaky Mode Modulators for Holovideo

    Published on: March 19, 2016

    8.4K
    Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
    14:18

    Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

    Published on: February 28, 2016

    12.0K

    Area of Science:

    • Nonlinear Optics
    • Photonics
    • Waveguide Theory

    Background:

    • Guided modes in optical structures are fundamental to light propagation.
    • Nonlinear optical effects enable dynamic control over light behavior.
    • Understanding mode conversion is crucial for optical device design.

    Purpose of the Study:

    • To investigate the power-dependent dynamics of guided mode conversion.
    • To analyze the impact of nonlinear coefficient modulation on mode conversion.
    • To identify critical parameters for efficient mode conversion.

    Main Methods:

    • Theoretical analysis of guided mode conversion.
    • Modeling nonlinear coefficient modulation in guiding structures.
    • Examination of power-dependent dynamics and energy exchange integrals.

    Main Results:

    • Demonstrated power-dependent dynamics of guided mode conversion.
    • Identified energy exchange integrals and input mode weights as crucial control parameters.
    • Observed complex conversion dynamics, including nonharmonic oscillations mimicking Jacoby elliptical functions.

    Conclusions:

    • Efficient mode conversion relies on precise control of energy exchange and mode weights.
    • Nonlinear coefficient modulation leads to intricate power-dependent conversion dynamics.
    • The observed oscillations provide new insights into nonlinear light propagation phenomena.