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

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

356
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...
356
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

873
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....
873
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.5K
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...
1.5K
Feedback control systems01:26

Feedback control systems

681
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...
681
Control Systems01:10

Control Systems

1.8K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.8K
Pole and System Stability01:24

Pole and System Stability

883
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...
883

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

Predefined-Time Super-Twisting Sliding Mode Control for Construction Robot with Arbitrary Initial Values.

Sensors (Basel, Switzerland)·2026
Same author

Phosphate Ester-Modified Acceptor Additives Enable Concurrent Vertical Morphology and Interfacial Engineering for Organic Solar Cells Approaching 21% Efficiency.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Didymin halts knee osteoarthritis progression by targeting the GSK3B/5-LOX/11-HETE pathway to suppress chondrocyte ferroptosis.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

A Method for Preparing Morphologically Preserved Wildlife Fecal Specimens for Long-Term Ecological Studies.

Ecology and evolution·2026
Same author

Ultrathin Grid-Structured Crystalline Silicon Films with Through-Hole Arrays for Flexible and Transparent Wearable Optoelectronics.

Nano letters·2026
Same author

Broadband Achromatic Programmable Electromagnetic Camouflage via Fluidic-Accessible Metasurface.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jan 11, 2026

Method to Measure Tone of Axial and Proximal Muscle
10:41

Method to Measure Tone of Axial and Proximal Muscle

Published on: December 14, 2011

18.0K

一个新的固定时间超扭转控制与I&I干扰观察器不确定的操纵器.

Lin Xu1, Jiahao Zhang1, Chunwu Yin1

  • 1School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.

Sensors (Basel, Switzerland)
|November 13, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了机器人手臂的固定时间超扭转滑动模式控制 (ST-SMC),确保更快,有界的融合和减少聊天. 这种新的策略实现了高精度跟踪,提高了机器人系统的性能.

关键词:
有限时间控制有限时间控制固定时间控制控制.沉浸和不变的干扰观察者观察者.操纵者 操纵者 是一个操纵者.超扭转的滑动模式控制 (STSMC)

更多相关视频

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.9K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

2.1K

相关实验视频

Last Updated: Jan 11, 2026

Method to Measure Tone of Axial and Proximal Muscle
10:41

Method to Measure Tone of Axial and Proximal Muscle

Published on: December 14, 2011

18.0K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.9K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

2.1K

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 控制系统工程 控制系统工程
  • 应用数学 应用数学 应用数学

背景情况:

  • 传统的滑动模式控制 (SMC) 受到声和无法控制的收时间的影响.
  • 不确定的机器人手臂系统需要强大的控制策略来精确的轨迹跟踪.

研究的目的:

  • 为不确定的机器人手臂系统开发一种新的固定时间超扭转滑动模式控制 (ST-SMC) 策略.
  • 解决聊天问题,并为机器人手臂控制建立一个有界的融合时间.
  • 为了增强强性并实现高精度跟踪.

主要方法:

  • 构建了一个具有固定时间收特征的滑动表面.
  • 设计了一个沉浸和不变 (I&I) 干扰观察器,用于实时估计干扰.
  • 开发了一种基于干扰观察器的新ST-SMC控制器,用于全球固定时间收.

主要成果:

  • 无论初始条件如何,都实现了追踪错误的固定时间收.
  • 有效地消除了控制扭矩的喋喋不休.
  • 实现了 2 × 10-9 的高跟踪错误精度.

结论:

  • 拟议的ST-SMC战略确保了固定时间的融合,并抑制了不确定的机器人手臂中的喋喋不休.
  • 该方法证明了对高精度机器人系统的适用性和稳定性.
  • 有明确界限的融合时间提高了机器人控制的可预测性和可靠性.