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相关概念视频

Feedback control systems01:26

Feedback control systems

294
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
294
Open and closed-loop control systems01:17

Open and closed-loop control systems

675
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
675
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

69
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,...
69
Linear time-invariant Systems01:23

Linear time-invariant Systems

225
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...
225
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

85
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
85
PI Controller: Design01:24

PI Controller: Design

219
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
219

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相关实验视频

Updated: Jun 11, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
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量子反集成的滑动模式控制不确定的网络线性系统通过事件触发方法.

Xinggui Zhao1, Bo Meng1, Zhen Wang1

  • 1College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, 266590, China.

ISA transactions
|October 2, 2024
PubMed
概括

本研究介绍了一种新的量子化事件触发 (ET) 集成滑动模式 (ISM) 控制器,用于不确定的网络系统. 该方法通过优化控制信号更新和避免Zeno现象来确保系统稳定性.

科学领域:

  • 控制系统工程 控制系统工程
  • 网络系统理论 网络系统理论
  • 应用数学 应用数学 应用数学

背景情况:

  • 网络系统带来了诸如数据量化和事件触发通信等挑战.
  • 集成滑动模式 (ISM) 控制提供了稳定性,但需要有效的状态信息.
  • 现有的事件触发 (ET) 控制方法可能无法完全解决网络系统中的量子化效应.

研究的目的:

  • 为不确定的网络线性系统设计一种新的量子化事件触发 (ET) 积分滑动模式 (ISM) 控制器.
  • 开发一种新的ISM表面,只使用量子化ET状态.
  • 为了建立控制信号更新的条件,并保证系统稳定性,避免Zeno现象.

主要方法:

  • 提出了一种新的ISM表面,通过分离时间间隔来整合量子化ET状态.
  • 新的ET条件是根据状态和量子化SM错误来制定新的ET条件,以确定控制更新.
  • 在"放大"和"放大"阶段分析事件间的最小时间,以防止Zeno行为.

主要成果:

  • 拟议的量子化ET ISM表面有效地利用了量子化状态信息.
  • 新的ET条件成功调节控制信号更新,确保系统稳定.
  • 证明事件间的最小时间证实了避免Zeno现象.
关键词:
事件触发机制事件触发机制集成的滑动模式控制控制器量化控制控制的量化控制

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相关实验视频

Last Updated: Jun 11, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

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结论:

  • 开发的量子化ET ISM控制器对于不确定的网络线性系统是有效的.
  • 提出的方法在沟通限制下提供了一个强大而有效的控制策略.
  • 模拟结果验证了设计的控制器的实际适用性和性能.