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相关概念视频

PD Controller: Design01:26

PD Controller: Design

622
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
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Feedback control systems01:26

Feedback control systems

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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...
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Control Systems: Applications01:25

Control Systems: Applications

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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
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Control Systems01:10

Control Systems

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

Open and closed-loop control systems

1.6K
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...
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Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

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Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
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相关实验视频

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Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
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数据驱动的建模和自适应事件触发的安全控制,用于受传感器攻击的自动驾驶汽车.

Hong-Tao Sun1, Xinyu Xie1, Miao Rong2

  • 1College of Engineering, Qufu Normal University, Rizhao, China.

ISA transactions
|October 8, 2025
PubMed
概括

本研究介绍了一种基于数据的方法,用于安全控制自动驾驶汽车,解决传感器攻击. 适应性事件触发方案提高了通信效率和对网络威胁的控制性能.

关键词:
自动驾驶汽车是什么意思动态模式分解分解事件触发的计划事件触发的计划.确保安全的控制控制传感器攻击的攻击

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科学领域:

  • 控制工程 控制工程 控制工程
  • 网络安全 网络安全
  • 自主系统 自主系统

背景情况:

  • 自动驾驶汽车面临来自传感器攻击的漏洞,危及安全性和性能.
  • 传统的控制方法与现实世界传感器攻击和数据驱动建模的复杂性作斗争.

研究的目的:

  • 开发针对传感器攻击的自动驾驶汽车数据驱动的安全控制策略.
  • 使用适应性事件触发机制来提高通信效率和控制性能.

主要方法:

  • 动态模式分解 (DMD) 用于数据驱动的侧向车辆模型识别.
  • 适应性事件触发控制方案,以优化通信和性能.
  • 类似滑动模式的控制以抵消传感器攻击.
  • 连普诺夫理论和线性矩阵不等式 (LMIs) 用于稳定性分析.

主要成果:

  • 从使用DMD的数据中成功识别了自动驾驶车辆动态.
  • 开发一个适应性事件触发方案,平衡通信负载和控制效率.
  • 通过拟议的控制策略,证明有效地减轻传感器攻击.
  • 通过比较模拟来验证控制方案的有效性.

结论:

  • 拟议的数据驱动方法有效地解决了自动驾驶汽车中的传感器攻击.
  • DMD简化了模型识别,而自适应事件触发控制提高了系统效率.
  • 安全控制方案提供了一个强大的解决方案,以提高自动驾驶的安全性和可靠性.