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相关概念视频

Kinematic Equations - II01:17

Kinematic Equations - II

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The second kinematic equation expresses the final position of an object in terms of its initial position, the distance traveled with the initial constant velocity, and the distance traveled due to a change in velocity. Similar to the first kinematic equation, this equation is also only valid when the acceleration is constant throughout the motion of an object.
Suppose a car merges into freeway traffic on a 200 m long ramp. If its initial velocity is 10 m/s and it accelerates at 2 m/s2, then the...
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Kinematic Equations - III01:18

Kinematic Equations - III

9.9K
The first two kinematic equations have time as a variable, but the third kinematic equation is independent of time. This equation expresses final velocity as a function of the acceleration and distance over which it acts. The fourth kinematic equation does not have an acceleration term and provides the final position of the object at time t in terms of the initial and final velocities. This equation is useful when the value of the constant acceleration is unknown.
Using the kinematic equations,...
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Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

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When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
24.2K
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

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A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
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PID Controller01:19

PID Controller

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Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
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相关实验视频

Updated: Apr 28, 2026

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
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A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

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实用规定的时间合作路径 遵循未完善的多ASV,而不是通过间歇性控制测量速度.

Jian Liu, Huiming Yang, Jun Liu

    IEEE transactions on cybernetics
    |February 19, 2026
    PubMed
    概括

    本研究提出了一种新方法,让自动驾驶表面车辆 (ASV) 在一定的时间内遵循路径. 这些算法确保了合作路径,尽管传感器的局限性和系统的不确定性.

    科学领域:

    • 机器人技术 机器人技术 机器人技术
    • 控制系统工程 控制系统工程
    • 海洋工程 海洋工程

    背景情况:

    • 未经调整的自动地表车辆 (ASV) 面临的挑战包括缺乏速度传感器,未建模的动力学和执行器和.
    • 合作路径遵循 (CPF) 对于协调的多车辆操作至关重要,但由于这些限制而复杂化.

    研究的目的:

    • 调查实用的规定的时间 (PT) 合作路径 (CPF) 后,对于低调的ASVs.
    • 开发算法,克服传感器的局限性和系统的不确定性,以在指定时间内同步路径.

    主要方法:

    • 设计了一个实用的定时速度观察器 (PTVO) 来估计无法测量的速度.
    • 开发了一种合作指导法,使用无周期间歇通信进行动力控制.
    • 设计了一个无周期间歇神经网络 (NN) 控制器用于动态控制,解决未建模的动态和执行器和.
    • 构建了一个间歇性适应定律来估计NN重量,减少复杂性.

    主要成果:

    • PTVO成功估计了无法测量的速度信息.
    • 合作社指导法使同步路径能够在减少通信负载的情况下遵循.
    • 该NN控制器有效地处理了未建模的动力学和执行器和.
    • 闭环系统在规定的时间间隔内证明了对剩余集的收.

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    结论:

    • 拟议的算法有效地实现了对未达标的ASVs的规定的时间合作路径.
    • 这些方法解决了诸如传感器限制和执行器和等实际挑战.
    • 数字模拟验证了开发算法的有效性和稳定性.