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相关概念视频

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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One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

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In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
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Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

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A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
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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...
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Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
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Simplification of a Force and Couple System: II01:23

Simplification of a Force and Couple System: II

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In a three-dimensional system, multiple forces can act on an object. These forces can be combined into a single equivalent force, known as the resultant force. Similarly, the moments generated by these forces can be combined into a single equivalent moment, the resultant couple moment. In certain situations, these two entities may not be mutually perpendicular, meaning they do not have a 90-degree angle between them. This unique condition requires a deeper understanding of the interplay between...
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相关实验视频

Updated: Jan 6, 2026

Design and Fabrication of an Elastomeric Unit for Soft Modular Robots in Minimally Invasive Surgery
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深度库普曼对非线性动力学和控制带驱动连续机器人的方法.

Navid Feizi1, Filipe C Pedrosa2, Jagadeesan Jayender3

  • 1Canadian Surgical Technologies and Advanced Robotics (CSTAR), London Health Sciences Centre, London, ON N6A 5A5, Canada, and with the School of Biomedical Engineering, Western University, London, ON N6A 3K7, Canada.

IEEE robotics and automation letters
|October 8, 2025
PubMed
概括

这项研究引入了一种新的深度库普曼方法,用于高效建模肌驱动连续机器人 (TDCR). 该方法可以为医疗应用提供准确的实时控制,克服复杂的非线性动态.

关键词:
在深度库普曼.非线性动力学是一种非线性动力学.实时控制控制实时控制机器人导管导管是一种机器人导管.肌驱动的连续机器人

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Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 控制理论 控制理论
  • 应用数学 应用数学 应用数学

背景情况:

  • 肌驱动连续机器人 (TDCR) 在医学中非常有价值,因为它们的灵活性.
  • 由于非线性,计算密集的连续力学,建模TDCR动态具有挑战性.
  • 这些复杂的模型阻碍了TDCR的实时控制.

研究的目的:

  • 为TDCR非线性动态开发一个高效的,以控制为导向的模型.
  • 为了利用深度库普曼的方法来线性化复杂的系统动态.
  • 为了实现TDCRs的精确实时位置控制.

主要方法:

  • 应用了深度库普曼方法,将TDCR状态转换为非线性多重体.
  • 在库普曼框架内,线性与双线性输入项的近似自主动态.
  • 在线化的库普曼模型上使用线性二次控制器实现位置控制.

主要成果:

  • 拟议的模型准确地捕捉了非线性和空间依赖的光谱变化.
  • 实验验证在双带机器人导管上显示了低位置跟踪误差 (1.64毫米和0.60毫米).
  • 该方法在多侧面和侧面轨迹方面都表现出有效性.

结论:

  • 深度库普曼方法为建模TDCR动态提供了一种高效和准确的方法.
  • 这种技术有助于在医疗应用中实时控制TDCR.
  • 该研究强调了在各种TDCR系统中广泛适用的潜力.