Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

693
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
693
Multimachine Stability01:25

Multimachine Stability

163
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:
163
Second Order systems II01:18

Second Order systems II

113
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
113
Transient and Steady-state Response01:24

Transient and Steady-state Response

183
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...
183
Stability01:28

Stability

129
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...
129
Pole and System Stability01:24

Pole and System Stability

299
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
299

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Inverse Optimal Control in Conjunction With Inverse Reinforcement Learning for Distributed Parameter Systems.

IEEE transactions on cybernetics·2026
Same author

An Event-Triggered Decentralized Asynchronous Design Scheme for Positive Interconnected Switched Systems With MDMDT Switching.

IEEE transactions on cybernetics·2025
Same author

Variable Threshold-Oriented Event-Triggered Cluster Consensus for Groups of Multiagent Systems.

IEEE transactions on cybernetics·2025
Same author

Space-Confined Synthesis of Sulfonated Covalent Organic Framework‒Polymer Membranes for Enhanced Osmotic Energy Conversion.

Small (Weinheim an der Bergstrasse, Germany)·2025
Same author

Preparation and Performance Evaluation of Coated Tracer Sand for Segmental Fracturing of Horizontal Wells.

ACS omega·2025
Same author

Quantum dynamics in multistate harmonic models using tensor-train thermofield dynamics and semiclassical mapping dynamics.

The Journal of chemical physics·2025

相关实验视频

Updated: Jul 7, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

578

基于事件的两步传输机制,用于稳定具有随机不确定性的联网TS模糊系统.

Zhou Gu, Yujian Fan, Xiang Sun

    IEEE transactions on cybernetics
    |December 22, 2023
    PubMed
    概括

    这项研究引入了网络模糊控制系统的新型两步传输机制 (TSTM). 这种方法通过智能地丢弃冗余数据包,有效地减少网络带宽,提高系统稳定性和性能.

    科学领域:

    • 控制系统工程 控制系统工程
    • 网络化模糊系统 (Networked Fuzzy Systems) 是一种网络化的模糊系统.
    • 信息理论 信息理论

    背景情况:

    • 网络控制系统中的传统事件触发机制 (ETM) 往往难以有效地识别和丢弃冗余数据包.
    • 这种低效率导致不必要的网络带宽消耗,特别是在接近稳定性的系统中.
    • 现有的方法缺乏强大的策略来管理数据传输在含不确定性的模糊式非线性系统.

    研究的目的:

    • 建议和分析基于事件的双阶段传输机制 (TSTM) 网络的塔卡吉-苏格诺 (T-S) 模糊系统.
    • 通过优化数据包传输来降低网络带宽负载.
    • 为具有随机不确定性的TS模糊非线性系统制定控制策略,并确保稳定性.

    主要方法:

    • 实施两步传输机制 (TSTM):第一步使用传统的事件触发机制 (ETM) 进行初始数据包重新标记.
    • 步骤2采用概率方法来识别真实发布包 (RRP),丢弃冗余的.
    • 提出了一种新的时间分析技术,用于在非线性系统中推导平均平方非对称稳定性 (MSAS) 的条件.

    主要成果:

    • 拟议的TSTM通过抛弃不必要的数据包,特别是系统稳定期间,有效地减少了网络带宽的使用.
    • 开发的控制策略确保了具有随机不确定性的TS模糊非线性系统的平均正方形不对称稳定性 (MSAS).

    更多相关视频

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

    4.4K
    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
    06:04

    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

    Published on: February 14, 2025

    395

    相关实验视频

    Last Updated: Jul 7, 2025

    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
    05:30

    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

    Published on: September 8, 2023

    578
    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

    4.4K
    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
    06:04

    Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

    Published on: February 14, 2025

    395
  • 通过两个实际应用示例来验证TSTM的有效性.

    • 结论:

    • 与传统的ETM相比,基于事件的TSTM在联网TS模糊系统中提供了一种优越的数据传输方法.
    • 这种机制显著减轻了网络带宽负担,提高了整体系统效率.
    • 该研究为在不确定的网络环境中设计稳定的控制系统提供了强大的框架.