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

Open and closed-loop control systems01:17

Open and closed-loop control systems

732
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...
732
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
106
Control Systems01:10

Control Systems

1.1K
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...
1.1K
Transfer Function in Control Systems01:21

Transfer Function in Control Systems

470
The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
470
Feedback control systems01:26

Feedback control systems

307
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...
307
Controller Configurations01:22

Controller Configurations

95
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
95

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

Quercetin-loaded PCL scaffold suppresses bone metastatic tumors and augments in situ bone formation.

BMC biotechnology·2026
Same author

Anti-Disturbance Intermediate Observer-Based Fault Estimation and Fault-Tolerant Control for Markovian Jump Systems.

IEEE transactions on cybernetics·2026
Same author

Leaf bidirectional reflectance distribution function (BRDF) prediction with phenotypic traits in four species: Development of a novel measuring and analyzing framework.

Plant phenomics (Washington, D.C.)·2026
Same author

Prognostic biomarkers related to PANoptosis in esophageal cancer and their immune microenvironment: multi-omics analysis and therapeutic significance.

Frontiers in oncology·2026
Same author

A novel dynamic signal Lemma for predefined-time stabilization of high-order nonlinear systems with dynamic uncertainties.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Observer-Based Fuzzy Secure Control for High-Order MASs Against Communication Delays Under Jointly Connected Switching Topology.

IEEE transactions on cybernetics·2026

相关实验视频

Updated: Jun 28, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K

为输出受约束的随机非线性网络系统通过多桥孔功能的优化后退合作控制.

Xiyue Guo, Huaguang Zhang, Xiaohui Yue

    IEEE transactions on cybernetics
    |April 19, 2024
    PubMed
    概括

    本研究介绍了对随机多代理系统的新型领导追随控制策略. 该方法有效地处理复杂的输出约束,确保最佳的系统性能和稳定性.

    科学领域:

    • 控制理论 控制理论
    • 人工智能的人工智能
    • 机器人技术 机器人技术 机器人技术

    背景情况:

    • 随机多元代理系统 (MAS) 存在重大控制挑战.
    • 现有的方法与复杂和任意的输出约束作斗争.

    研究的目的:

    • 开发一种新的领导者追随跟踪控制方法,用于随机MAS.
    • 为了解决多桥孔输出约束,允许任意的受约束和不受约束的间隔.

    主要方法:

    • 设计了一个新的转移函数来构建一个障碍Lyapunov函数.
    • 结合后退和自适应动态编程 (ADP) 技术,以实现最佳的控制器设计.
    • 利用模型网络来估计系统的不确定性和干扰.
    • 雇佣了批评家和演员网络,以确保遵守贝尔曼最佳性原则.

    主要成果:

    • 成功开发了一个用于随机MAS的最佳控制器,具有多桥孔输出约束.
    • 模型网络有效地估计了未知的系统干扰和不确定性.
    • 批评者和演员网络确保了控制器的最佳性.
    • 模拟结果验证了拟议方法的有效性.

    更多相关视频

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

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

    Published on: August 15, 2020

    5.0K
    Operation of the Collaborative Composite Manufacturing CCM System
    10:09

    Operation of the Collaborative Composite Manufacturing CCM System

    Published on: October 1, 2019

    6.6K

    相关实验视频

    Last Updated: Jun 28, 2025

    The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
    11:53

    The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

    Published on: October 14, 2017

    11.6K
    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

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

    Published on: August 15, 2020

    5.0K
    Operation of the Collaborative Composite Manufacturing CCM System
    10:09

    Operation of the Collaborative Composite Manufacturing CCM System

    Published on: October 1, 2019

    6.6K

    结论:

    • 拟议的控制方法是多功能和兼容的各种输出受限制的问题.
    • 它为不受约束的,受约束的和延迟受约束的控制提供了一个统一的框架.
    • 这种方法为复杂的随机多代理系统提供了强大的解决方案.