有限时间拓 延迟复杂动态网络的识别及其应用
Yu Chen1, Zhi-Wei Liu1, Yuzhen Qin2
1The School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China.
Cyborg and bionic systems (Washington, D.C.)
|May 20, 2025
概括
本研究引入了一种新的有限时间观察器,用于快速识别网络拓,克服传统方法的局限性. 该方法确保及时准确地检测网络变化,这对系统稳定至关重要.
科学领域:
- 复杂的系统复杂的系统.
- 网络科学 网络科学
- 控制理论 控制理论
背景情况:
- 了解网络拓对于系统行为分析至关重要.
- 拓识别的传统方法往往是缓慢的,以异常或指数的方式融合.
- 这限制了它们在动态或时间关键应用中的有效性.
研究的目的:
- 开发一种方法,快速准确地识别不确定的网络拓.
- 为了解决传统拓识别技术的局限性.
- 为了及时检测网络变化并确保系统的稳定性.
主要方法:
- 采用有限时间稳定理论来实现快速趋同.
- 一个新的有限时间拓观测者的建议.
- 适用于具有时间延迟和非线性合的复杂动态网络.
主要成果:
- 实现了复杂网络的有限时间拓识别和同步.
- 在快速检测电网线路中断方面表现出有效性.
- 数字实验证实了该方法的速度和准确性.
结论:
- 拟议的有限时间观察器在网络拓识别方面提供了显著的进步.
- 该方法为动态网络分析和故障检测提供了及时有效的解决方案.
- 该方法在电网等现实应用中的速度和有效性得到了验证.
相关概念视频
Classification of Systems-II
132
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
132
Linear time-invariant Systems
198
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...
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...
198
First Order Systems
80
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
80
Linear Approximation in Time Domain
59
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,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
59
Discrete-Time Fourier Series
206
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
For a discrete-time periodic signal x[n]...
206
Stability
73
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...
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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