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相关概念视频

Euler Equations of Motion01:19

Euler Equations of Motion

216
Imagine a rigid body that is rotating at an angular velocity of ω within an inertial frame of reference. Along with this, picture a second rotating frame that is attached to the body itself. This frame moves along with the body and possesses an angular velocity of Ω. The total moment about the center of mass is calculated by adding the rate of change of angular momentum about the center of mass in relation to the rotating frame and the cross-product of the body's angular velocity...
216
Euler's Equations of Motion01:28

Euler's Equations of Motion

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In fluid mechanics, shear stresses arise from viscosity, which represents a fluid's internal resistance to deformation. For low-viscosity fluids, like water, these stresses are minimal, simplifying flow analysis by allowing the fluid to be treated as inviscid, or frictionless. In an inviscid fluid, shear stresses are absent, leaving only normal stresses, which act perpendicularly to fluid elements. Notably, pressure — defined as the negative of the normal stress — remains...
454
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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Linear time-invariant Systems01:23

Linear time-invariant Systems

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A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
258
Basic Continuous Time Signals01:22

Basic Continuous Time Signals

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Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
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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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相关实验视频

Updated: Jul 4, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
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多变量滑动模式控制器的欧勒隐性时间分离.

Mohammad Rasool Mojallizadeh1, Félicien Bonnefoy2, Franck Plestan3

  • 1Nantes Université, École Centrale Nantes, CNRS, LS2N, UMR 6004, F-44000 Nantes, France; Nantes Université, École Centrale Nantes, CNRS, LHEEA, UMR 6598, F-44000 Nantes, France.

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概括

本研究为多变量滑动模式控制器引入了一个隐含的欧勒时间分离,以消除数值聊天. 开发的算法有效地抑制了聊天,并确保复杂的控制系统的有限时间融合.

关键词:
倒向的离密化方式欧勒隐含的离散化多变量通用方程是多变量的.多变量滑动模式控制多变量系统是多变量系统.

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科学领域:

  • 控制系统工程 控制系统工程
  • 数字分析 数字分析
  • 应用数学 应用数学 应用数学

背景情况:

  • 滑动模式控制 (SMC) 是有效的,但受到数值聊天的困扰.
  • 传统的显式时间分离方法可以在多变量系统中加剧聊天.
  • 现有的方法往往需要修改连续时间控制法,以减轻聊天.

研究的目的:

  • 为多变量滑动模式控制器开发欧勒隐式时间分离.
  • 在不改变连续时间控制规律的情况下解决数字聊天问题.
  • 提出一种新的算法来解决隐含的离散方程.

主要方法:

  • 为多变量滑动模式控制器开发了欧勒隐式时间分离.
  • 提出了一种新的算法来解决由此产生的多变量通用方程.
  • 分析了诸如有限时间收和聊天抑制等属性.
  • 在数字处理器上实现了控制器,用于六输入,六输出系统.

主要成果:

  • 隐式离散导致一个多变量通用方程,可通过拟议的算法解决.
  • 有限时间收,增益不敏感性和聊天抑制被分析证明.
  • 数字模拟证实了隐式方法的有效性,而不是显式离散.
  • 在六组件推力发电机上成功实施,证明了其实际应用.

结论:

  • 欧勒隐式时间分离为多变量滑动模式控制中的聊天提供了强大的解决方案.
  • 开发的算法为合成隐式滑动模式控制器提供了实用的手段.
  • 这种方法保持了滑动模式控制的优势,同时增强了数值稳定性.