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相关概念视频

State Space Representation01:27

State Space Representation

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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
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Linear Approximation in Time Domain01:21

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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,...
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Stability01:28

Stability

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The time response of a linear time-invariant (LTI) system can be divided into transient and steady-state responses. The transient response represents the system's initial reaction to a change in input and diminishes to zero over time. In contrast, the steady-state response is the behavior that persists after the transient effects have faded.
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
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Linear time-invariant Systems01:23

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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...
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Oscillations about an Equilibrium Position01:04

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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...
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幽灵状态是空间和时间模式的基础:不存在的不变量解决方案如何控制非线性动态.

Zheng Zheng1, Pierre Beck1, Tian Yang1

  • 1École Polytechnique Fédérale de Lausanne, Emergent Complexity in Physical Systems Laboratory (ECPS), CH-1015 Lausanne, Switzerland.

Physical review. E
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概括
此摘要是机器生成的。

幽灵状态,或"幽灵",是影响动态系统的消失解决方案的残余. 本研究将这些幽灵状态定义和计算在时空局部微分方程中,揭示它们对系统动态的影响.

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科学领域:

  • 动态系统理论 动态系统理论
  • 非线性动力学是一种非线性动力学.
  • 计算物理 计算物理

背景情况:

  • 靠近分叉的动态系统表现出复杂的行为,受到消失不变的解决方案的影响,称为"幽灵".
  • 以前的工作重点是幽灵对低维普通微分方程 (ODE) 的时间动态的影响.
  • 在时空部分微分方程 (PDEs) 中幽灵的现象仍然不太被探索.

研究的目的:

  • 在时空PDEs的背景下描述和定义"幽灵状态".
  • 开发用于计算和跟踪各种不变解决方案的幽灵状态的方法.
  • 为了证明各种非线性系统中幽灵状态的相关性.

主要方法:

  • 定义的幽灵状态是状态空间中成本函数的最小值.
  • 采用变量方法计算和参数连续的幽灵状态.
  • 应用方法平衡,周期轨道,和其他不变的解决方案.

主要成果:

  • 成功计算并继续各种不变的解决方案的幽灵状态.
  • 证明了幽灵状态在解释观察到的动态方面的相关性.
  • 描绘了各种系统的现象,包括混乱地图,ODE,PDE和物理模型.

结论:

  • 幽灵状态是非线性动态系统的重要特征,特别是在时空PDEs中.
  • 开发的变量方法为分析幽灵状态提供了强大的工具.
  • 了解幽灵状态对于理解各种科学领域的复杂动态和延迟过渡至关重要.