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

Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.5K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.5K
Observational Learning01:12

Observational Learning

791
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
791
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
Control System Problem01:21

Control System Problem

378
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
378
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
Heuristics01:21

Heuristics

618
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
618

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

Biogeographic patterns of potential pathogenic bacteria in the middle and lower reaches of the Yangtze River as well as its two adjoining lakes, China.

Frontiers in microbiology·2022
Same author

Extracellular Vesicles of Mesenchymal Stem Cells Are More Effectively Accessed through Polyethylene Glycol-Based Precipitation than by Ultracentrifugation.

Stem cells international·2022
Same author

Correction: First-in-Class Anti-immunoglobulin-like Transcript 4 Myeloid-Specific Antibody MK-4830 Abrogates a PD-1 Resistance Mechanism in Patients with Advanced Solid Tumors.

Clinical cancer research : an official journal of the American Association for Cancer Research·2022
Same author

Measurements of microjoule-level, few-femtosecond ultraviolet dispersive-wave pulses generated in gas-filled hollow capillary fibers.

Optics letters·2022
Same author

Network pharmacological analysis and molecular docking of Huangqin-Baizhu herb pair in the treatment of threatened abortion.

Medicine·2022
Same author

<i>In situ</i> construction of FeCo alloy nanoparticles embedded in nitrogen-doped bamboo-like carbon nanotubes as a bifunctional electrocatalyst for Zn-air batteries.

Dalton transactions (Cambridge, England : 2003)·2022
Same journal

A New Human-Likeness and Comfort Index for Robot Movements Along Prescribed Paths.

IEEE transactions on cybernetics·2026
Same journal

Robust Semiglobal and Global Stabilization for Nonlinear Normal Form Systems by Time-Varying Feedback.

IEEE transactions on cybernetics·2026
Same journal

Adaptive Global Asymptotic Output Stabilization of Uncertain Nonlinear Systems Under Dynamic State/Input Quantization.

IEEE transactions on cybernetics·2026
Same journal

Accelerated Distributed Gradient Tracking for Constrained Aggregative Optimization Over Time-Varying Digraphs.

IEEE transactions on cybernetics·2026
Same journal

Small-Gain-Based Plug-and-Play Distributed Control Framework for DC Microgrids With Decentralized Reconfiguration.

IEEE transactions on cybernetics·2026
Same journal

Prescribed-Time Impulsive Control of High-Order Integrator Systems.

IEEE transactions on cybernetics·2026
查看所有相关文章

相关实验视频

Updated: Jan 8, 2026

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

8.6K

通过Swarm智能优化,通过事件触发的安全关键学习控制.

Ding Wang, Xin Li, Hua Wang

    IEEE transactions on cybernetics
    |December 19, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一种事件触发的安全批评学习控制 (ESCLC) 算法,用于具有不对称状态约束的非线性系统. 该ESCLC算法确保了系统的安全性和稳定性,同时有效地优化控制策略.

    更多相关视频

    Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
    09:00

    Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

    Published on: December 19, 2016

    15.1K
    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

    12.1K

    相关实验视频

    Last Updated: Jan 8, 2026

    SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
    08:13

    SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

    Published on: December 25, 2017

    8.6K
    Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
    09:00

    Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

    Published on: December 19, 2016

    15.1K
    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

    12.1K

    科学领域:

    • 控制理论 控制理论
    • 非线性系统是非线性系统.
    • 人工智能的人工智能

    背景情况:

    • 具有不对称状态约束的非线性系统带来了重要的控制挑战.
    • 确保系统的安全性和稳定性在控制系统设计中至关重要.
    • 资源有限的环境需要有效的控制策略.

    研究的目的:

    • 为非线性系统开发一个事件触发的安全批评学习控制 (ESCLC) 算法.
    • 在不对称状态约束下保证系统安全.
    • 在资源有限的场景中增强控制政策优化.

    主要方法:

    • 整合一个安全的批评学习控制 (SCLC) 框架与事件触发机制.
    • 将控制屏障功能纳入安全值功能设计中.
    • 汇聚分析和政策可接受性标准的价值代.
    • 为政策改进而优化粒子群,独立于系统控制矩阵.

    主要成果:

    • 开发的SCLC算法保证了系统的安全性,并建立了趋同标准.
    • 该ESCLC算法确保了闭环系统的非对称稳定性.
    • 实际值函数的上限被导出,确保有边界的性能降低.
    • 政策改进方法消除了对系统控制矩阵的依赖.

    结论:

    • ESCLC算法有效地解决了具有不对称状态约束的非线性系统.
    • 事件触发机制提高了在资源有限的情况下的适用性.
    • 对扭矩和球束系统的模拟结果验证了算法的有效性.