关键性在合振荡器系统的瞬态行为中,朝着奇默和同步的方向
Nan Yao1, Qian-Yun Zhang2, De-Yi Ren2
1Department of Applied Physics, Xi'an University of Technology, Xi'an 710054, China.
Chaos (Woodbury, N.Y.)
|July 17, 2023
概括
这项研究揭示了局部扰动如何引导多基米拉状态向基米拉或同步方向. 达到这些最终状态的过渡时间遵循一个电力定律分布,扰动强度增加.
科学领域:
- 复杂的系统复杂的系统.
- 非线性动力学是一种非线性动力学.
- 统计物理 统计物理
背景情况:
- 嵌合体状态是复杂系统的标志,涉及同步和非同步行为的共存领域.
- 了解时空系统中这些状态的动态和控制对于各种科学学科至关重要.
- 局部扰动对多合体系统最终状态的影响在很大程度上仍未被探索.
研究的目的:
- 在局部扰动下,研究多奇梅拉状态向不同的最终状态 (奇梅拉或同步) 转向的指导机制.
- 系统地分析这些系统的关键行为和短暂动态.
- 为观察到的批判性行为开发一个现象学模型.
主要方法:
- 系统的数值分析多基梅拉状态进化.
- 测量不同数量的集群的临界值和过渡时间.
- 过渡时间分布的统计拟合和分析.
- 对集群行为进行比较分析 (奇数与偶数).
主要成果:
- 确定了短暂时间中的关键行为,导致最终的稳定状态是嵌合体或同步.
- 发现过渡时间分布与扰动强度的增加都遵循了权力定律关系.
- 观察到一个独特的现象,即奇数和偶数集群的临界值交替收.
结论:
- 局部扰动可以关键地引导多基梅拉状态到不同的最终状态.
- 过渡时间的功率定律依赖性为系统对扰动的反应提供了洞察力.
- 对奇数/偶数集群的临界值的替代收表明了可预测和可建模的行为.
更多相关视频
07:33Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
Published on: June 29, 2018
11.8K
07:59Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
Published on: June 9, 2023
1.4K
相关概念视频
Oscillations In An LC Circuit
2.3K
An idealized LC circuit of zero resistance can oscillate without any source of emf by shifting the energy stored in the circuit between the electric and magnetic fields. In such an LC circuit, if the capacitor contains a charge q before the switch is closed, then all the energy of the circuit is initially stored in the electric field of the capacitor. This energy is given by
2.3K
Multimachine Stability
194
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
194
Oscillations about an Equilibrium Position
5.5K
Stability is an important concept in oscillation. If an equilibrium point is stable, a slight disturbance of an object that is initially at the stable equilibrium point will cause the object to oscillate around that point. For an unstable equilibrium point, if the object is disturbed slightly, it will not return to the equilibrium point. There are three conditions for equilibrium points—stable, unstable, and half-stable. A half-stable equilibrium point is also unstable, but is named so...
5.5K
Transient and Steady-state Response
215
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...
215
BIBO stability of continuous and discrete -time systems
442
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....
442
Stability of Equilibrium Configuration
483
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
483
