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相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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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
Classification of Systems-I01:26

Classification of Systems-I

180
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
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Integrated Healthcare System01:20

Integrated Healthcare System

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An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
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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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Classification of Systems-II01:31

Classification of Systems-II

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Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
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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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相关实验视频

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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
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人工智能概念的系统系统的系统动态互操作性.

Jacob Nilsson1, Saleha Javed1, Kim Albertsson1

  • 1Embedded Intelligent Systems LAB (EISLAB), Lulea University of Technology, 97187 Lulea, Sweden.

Sensors (Basel, Switzerland)
|May 11, 2024
PubMed
概括

在复杂的系统系统 (SoS) 中实现动态互操作性仍然具有挑战性. 最近的机器学习进步显示出有望实现有目的的网络物理系统 (CPS) 通信,但仍然需要统一的解决方案.

科学领域:

  • 网络物理系统工程 网络物理系统工程
  • 人工智能的人工智能
  • 计算机科学 计算机科学

背景情况:

  • 互操作性对于系统系统 (SoS) 和网络物理系统 (CPS) 至关重要,使信息交换和合作成为可能.
  • 在运行时动态建立异质CPS之间的互操作性是一个复杂的挑战.
  • 现有的解决方案往往是特定于领域的,缺乏统一的方法来解决可变的系统关系.

研究的目的:

  • 对机器学习 (ML) 的文献进行调查,并连接自动建立SoS与有目的的CPS通信的方法.
  • 识别和整合目前在现有研究中未结合的概念.
  • 探索用于动态SoS互操作性的人工智能解决方案.

主要方法:

  • 文献调查专注于ML和相关领域.
  • 总结最近在表示学习,神经网络,概念学习和新兴通信方面的发展.
  • 分析支持人工智能的解决方案及其与SoS互操作性要求的关系.

主要成果:

  • 越来越多的人对深度学习越来越感兴趣,以根据各种环境和实体假设建立沟通.
  • 识别相关的ML技术,如用于本体学对齐的表示学习和用于转码的神经网络.
  • 架构示例和讨论人工智能支持的SoS互操作性中的开放问题.
关键词:
用于网络物理系统的AI.动态互操作性 动态互操作性代表性学习学习学习系统的系统系统的系统.

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结论:

  • 尽管最近有ML的进步,但仍然缺乏在复杂的SoS中实现动态互操作性的统一方法.
  • 需要进一步的研究来弥合现有的概念,并为人工智能驱动的解决方案开发现实的测试台.
  • 机器学习的整合为有目的的CPS通信和SoS互操作性提供了新的研究途径.