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相关概念视频

Decision Making: P-value Method01:09

Decision Making: P-value Method

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Open and closed-loop control systems01:17

Open and closed-loop control systems

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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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Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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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...
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Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

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Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
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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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基于数据的最佳交换和控制,可接受性保证 Q-Learning.

Zhengrong Xiang, Pingchuan Li, Wencheng Zou

    IEEE transactions on neural networks and learning systems
    |June 5, 2024
    PubMed
    概括

    本研究介绍了一种基于数据的方法,用于使用近似动态编程 (ADP) 进行非线性交换系统的最佳控制. 新的两阶段ADP算法确保了可接受的混合控制政策,用于实际应用.

    科学领域:

    • 控制系统工程 控制系统工程
    • 人工智能的人工智能
    • 非线性动力学是一种非线性动力学.

    背景情况:

    • 交换系统由于其混合性质而存在独特的控制挑战.
    • 基于数据的控制设计对于模型不确定或复杂的系统至关重要.
    • 大致动态编程 (ADP) 为解决复杂的控制问题提供了一个强大的框架.

    研究的目的:

    • 为离散时间非线性开关系统开发基于数据的最佳开关和控制代码设计方法.
    • 确保设计的混合控制政策的可接受性,以便实际实施.
    • 为拟议的算法提供严格的融合证明.

    主要方法:

    • 采用了两阶段的近似动态编程 (ADP) 算法,涉及离线政策改进和评估.
    • 系统输入/输出数据被用来代地确定最佳的混合控制策略.
    • 一个具有多个NN的演员关键神经网络 (NN) 结构接近子系统的Q功能和控制策略.

    主要成果:

    • 拟议的两阶段ADP算法保证了最佳混合控制政策设计的融合.
    • 导出并应用一个可接受性标准,以确保控制政策的实际可行性.
    • 数字模拟证明了开发的基于数据的控制策略的有效性.

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    结论:

    • 基于数据的最佳交换和控制代码设计通过两阶段的ADP是有效的非线性交换系统.
    • 开发的方法确保了可接受的混合控制政策,这对于现实世界的应用至关重要.
    • 关键行为体的NN实施有助于实际实现拟议的控制战略.