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 time-invariant Systems01:23

Linear time-invariant Systems

248
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...
248
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

94
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...
94
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

88
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...
88
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

81
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,...
81
Effective Value of a Periodic Waveform01:07

Effective Value of a Periodic Waveform

523
The concept of effective value, the root mean square (RMS) value, is crucial in understanding electrical circuits and power delivery. This idea emerges from the necessity to measure the effectiveness of a voltage or current source in supplying power to a resistive load.
The effective value of a periodic current represents the direct current (DC) that conveys the same average power to a resistor as the periodic current itself. This concept is crucial when assessing AC circuits. To determine the...
523
Node Analysis for AC Circuits01:14

Node Analysis for AC Circuits

316
Consider an angioplasty system featuring a catheter equipped with a turbine, a critical tool for removing plaque deposits from coronary arteries. This intricate medical device operates using a circuit model reminiscent of a dual-node RLC circuit powered by a current-controlled voltage source.
To unravel the complexities of this system, nodal analysis is employed, a powerful technique founded on Kirchhoff's current law (KCL), which remains valid for phasors. AC circuits can effectively be...
316

You might also read

Related Articles

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

Sort by
Same author

Conformationally Variable Peptides Trap and Detoxify Ox-LDL in Plaques for Attenuating Atherosclerosis in Multiple Species.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Study on the Mechanisms and Key Influencing Factors of Paclitaxel and Indocyanine Green Co-Loading in Lipid Nanoparticles.

Pharmaceutics·2026
Same author

Disentangling litter decomposition trajectories in streams: Ecological insights from a global multimodel analysis.

Ecology·2026
Same author

Mechanisms of Polymer-Antigen Binding and Hydrolysis Inhibition: Molecular Dynamics Simulations and Experimental Measurements.

Polymers·2026
Same author

Ratio-Tunable Dual-Peptide and Ultrasound-Assisted Nanoplatform for Enhancing Personalized Antitumor Immunotherapy.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Contrasting thermophilization among forests, grasslands and alpine summits.

Nature·2026

Related Experiment Video

Updated: Jun 24, 2025

Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities
11:08

Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities

Published on: November 30, 2012

18.9K

Efficient Verilog-A based time-domain variability analysis method for passive photonic integrated circuits.

Kai Yue, Yinghao Ye

    Optics Express
    |June 11, 2024
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new time-domain variability analysis for silicon photonic integrated circuits (PICs). The method efficiently models fabrication variations, improving performance prediction for wavelength filters.

    More Related Videos

    Recombination Dynamics in Thin-film Photovoltaic Materials via Time-resolved Microwave Conductivity
    11:30

    Recombination Dynamics in Thin-film Photovoltaic Materials via Time-resolved Microwave Conductivity

    Published on: March 6, 2017

    11.7K
    Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator
    07:42

    Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator

    Published on: December 15, 2021

    3.1K

    Related Experiment Videos

    Last Updated: Jun 24, 2025

    Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities
    11:08

    Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities

    Published on: November 30, 2012

    18.9K
    Recombination Dynamics in Thin-film Photovoltaic Materials via Time-resolved Microwave Conductivity
    11:30

    Recombination Dynamics in Thin-film Photovoltaic Materials via Time-resolved Microwave Conductivity

    Published on: March 6, 2017

    11.7K
    Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator
    07:42

    Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator

    Published on: December 15, 2021

    3.1K

    Area of Science:

    • Photonics
    • Integrated Circuits
    • Semiconductor Device Modeling

    Background:

    • Silicon photonic integrated circuits (PICs) face performance sensitivity due to fabrication variations.
    • The high refractive index contrast of silicon on insulator (SOI) platforms exacerbates these issues, particularly for wavelength filters.

    Purpose of the Study:

    • To propose an easy-to-implement and efficient time-domain variability analysis method for passive PICs.
    • To address the sensitivity of PIC performance to fabrication process variations.

    Main Methods:

    • Utilized polynomial chaos expansion (PCE) to construct Verilog-A models.
    • Estimated statistical information for stochastic passive PICs.
    • Applied the method to analyze time-domain variability in ring-resonator and Mach-Zehnder interferometer filters.

    Main Results:

    • The proposed method offers significant ease of implementation and efficiency.
    • Demonstrated superior scalability with increasing numbers of ports and random parameters.
    • Successfully analyzed time-domain variability in complex PICs.

    Conclusions:

    • The PCE-based Verilog-A modeling provides an effective solution for variability analysis in passive PICs.
    • This approach enhances the predictability and reliability of silicon photonic devices.
    • The method is particularly advantageous for complex PIC designs with multiple parameters.