Related Experiment Video
Updated: Mar 9, 2026

06:42
Generation and Coherent Control of Pulsed Quantum Frequency Combs
Published on: June 8, 2018
9.8K
Intermittent Bellerophon state in frequency-weighted Kuramoto model
Wenchang Zhou1, Yong Zou1, Jie Zhou1
1Department of Physics, East China Normal University, Shanghai 200241, China.
Chaos (Woodbury, N.Y.)
|January 2, 2017
Summary
Researchers discovered an intermittent Bellerophon state in coupled oscillators. This quantized clustering state exhibits periodic bursting and resting, suggesting its prevalence in complex oscillator systems.
Area of Science:
- Complex Systems
- Nonlinear Dynamics
- Statistical Physics
Background:
- The Bellerophon state, a quantized, time-dependent clustering phenomenon, was recently identified in globally coupled oscillators.
- Key characteristic: oscillators divide into clusters with differing instantaneous frequencies but synchronized average frequencies.
Purpose of the Study:
- To further characterize the intermittent Bellerophon state within the frequency-weighted Kuramoto model.
- To investigate the influence of a biased Lorentzian frequency distribution on this state's dynamics.
Main Methods:
- Utilized the frequency-weighted Kuramoto model, a standard framework for analyzing coupled oscillator systems.
- Employed a biased Lorentzian distribution for natural frequencies to simulate realistic oscillator populations.
- Analyzed the temporal evolution of oscillator states to identify intermittent dynamics.
Main Results:
- Identified an intermittent Bellerophon state characterized by periodic bursts of activity followed by longer resting periods.
- Observed a synchronous pattern in the bursting and resting phases across the oscillator population.
- Demonstrated that the intermittent Bellerophon state emerges under specific frequency distribution conditions.
Conclusions:
- The intermittent Bellerophon state represents a significant dynamical feature in coupled oscillator systems.
- The findings suggest that Bellerophon-like states may be a generic phenomenon in Kuramoto-like models.
- This research broadens the understanding of complex collective behaviors in diverse oscillatory networks.
Related Concept Videos
BIBO stability of continuous and discrete -time systems
1.0K
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
1.0K
Bode Plots Construction
1.2K
The Bode plot is an essential tool in control system analysis, mapping the frequency response of a system through a magnitude plot and a phase plot, both against a logarithmic frequency axis. To construct a Bode plot, consider the transfer function H(ω):
1.2K
Frequency-Domain Interpretation of PD Control
404
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
The proportional control gain, combined with the...
404
Transient and Steady-state Response
616
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
616
Frequency of Spring-Mass System
8.1K
One interesting characteristic of the simple harmonic motion (SHM) of an object attached to a spring is that the angular frequency, and the period and frequency of the motion, depend only on the mass and the force constant of the spring, and not on other factors such as the amplitude of the motion or initial conditions. We can use the equations of motion and Newton's second law to find the angular frequency, frequency, and period.
Consider a block on a spring on a frictionless surface. There...
Consider a block on a spring on a frictionless surface. There...
8.1K
Linear Approximation in Frequency Domain
412
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....
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....
412

