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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.
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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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The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
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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.
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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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The torque-free motion refers to the movement of a rigid body in space when no external torques are acting upon it. This type of motion can be observed in environments where there are no external forces or frictions, like in outer space. For example, a rotation of Mars in space is a torque-free motion. Mars is an axisymmetric object, meaning it has an axis of symmetry along which it rotates, designated as the z-axis. The rotating frame of reference is defined such that the center of mass of...
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相关实验视频

Updated: Sep 13, 2025

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
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基于学习的控制用于肌驱动的连续机器人手臂.

Nima Maghooli1, Omid Mahdizadeh1, Mohammad Bajelani1

  • 1Center of Excellence in Robotics and Control, Advanced Robotics and Automated Systems (ARAS), Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.

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PubMed
概括

这项研究介绍了一种新的深度强化学习控制策略,用于肌驱动的连续机器人. 无模型控制器增强了轨迹跟踪,并适应现实世界的条件,优于传统方法.

关键词:
数据驱动的控制是数据驱动的控制.深度决定性的政策梯度算法深度强化学习的学习.基于学习的控制修改过渡的雅可比安式.最优的适应性增益调节系统.模拟到真实转移的转移由肌驱动的连续机器人

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 控制系统 控制系统
  • 人工智能的人工智能

背景情况:

  • 肌驱动的连续机器人提供灵活性,但由于非线性动力学而面临挑战.
  • 基于经典模型的控制器与这些系统固有的不确定性作斗争.
  • 对于各种不同的操作场景,需要先进的,适应性的控制策略.

研究的目的:

  • 为肌驱动连续机器人开发一种无模型,集中位置控制策略.
  • 为了加强对这些机器人的控制策略的SIM-to-Real传输.
  • 与基于模型的策略相比,实现更高的轨迹跟踪性能.

主要方法:

  • 使用深度强化学习 (DRL) 采用定制的修改转换雅科比控制策略.
  • 使用深度决定性政策梯度 (DDPG) 算法,优化调整控制参数.
  • 集成的最佳适应性增强调节调节,以实现无模型的方法.

主要成果:

  • 拟议的基于DRL的控制器在模拟和现实世界的实验中显著改善了轨迹跟踪性能.
  • 在各种初始条件和复杂轨迹中表现出稳健性.
  • 与理想的基于模型的控制策略相比,实现了卓越的性能.

结论:

  • 开发的无模型控制器为控制连续机器人提供了一个有前途的解决方案.
  • 该战略提高了在受限制环境中的适应能力和性能.
  • 这种方法适用于需要精确机器人控制的通用应用.