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Related Concept Videos

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...
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

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, the...
Errors in Global Positioning System01:26

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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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...
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

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.

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Updated: Jun 13, 2026

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
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Delay Correction Method Based on VLF Timing Signal Phase Variation Model.

Xinze Ma1,2, Wenhe Yan1,2, Zhaopeng Hu1,2

  • 1National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China.

Sensors (Basel, Switzerland)
|June 12, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a method to correct timing errors in very-low-frequency (VLF) signals, enhancing terrestrial time transfer. The new approach significantly reduces timing variations caused by ionospheric changes, improving positioning, navigation, and timing (PNT) services.

Keywords:
integrated PNT systempropagation-delay correctionvery-low-frequencywaveguide mode propagation

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Area of Science:

  • Geophysics
  • Signal Processing
  • Navigation Systems

Background:

  • Satellite-based positioning, navigation, and timing (PNT) services face challenges like signal interference and limited availability.
  • Very-low-frequency (VLF) signals offer a terrestrial alternative for time transfer but are susceptible to propagation-delay variations, particularly diurnal changes.

Purpose of the Study:

  • To develop and evaluate a propagation-delay correction method for VLF timing signals.
  • To mitigate the impact of ionospheric diurnal variations on VLF signal timing accuracy.

Main Methods:

  • A phase-variation model was developed to correct VLF timing signals.
  • Total delay error was separated into primary path delay, secondary propagation delay, and residual error.
  • Periodic secondary delays were corrected using predicted phase variation from historical Alpha observations.

Main Results:

  • The proposed method reduced the standard deviation of timing errors for Chongqing paths to 2.0054-2.2500 μs and for Guilin paths to 2.7987-4.4792 μs.
  • The corrected root mean square error (RMSE) ranged from 2.1316 μs to 4.5641 μs across six Alpha propagation paths.
  • The method effectively suppressed the main diurnal propagation-delay component in the analyzed VLF datasets.

Conclusions:

  • The developed propagation-delay correction method shows promise for improving the stability of VLF timing signals.
  • The findings suggest that VLF signals can serve as a more reliable terrestrial complement to satellite-based PNT systems.
  • Further validation with contemporary and multi-season VLF observations is recommended.