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相关概念视频

Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

63
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,...
63
Linear time-invariant Systems01:23

Linear time-invariant Systems

212
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...
212
Feedback control systems01:26

Feedback control systems

286
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...
286
Linear Momentum in Control Volume01:13

Linear Momentum in Control Volume

734
Newton's second law is applied to obtain the linear momentum in a control volume in a fluid system. According to this law, the rate of change of linear momentum is equal to the sum of external forces acting on the system. When a control volume matches the fluid system at a specific moment, the forces acting on both are identical. Reynolds transport theorem helps explain this by breaking down the system's linear momentum into two components: the rate of change of linear momentum within...
734
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

465
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...
465
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

96
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: Jun 6, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

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对于具有未知的外部干扰的线性多剂系统,完全分布的变时形成跟踪控制.

Liya Dou1, Kang Wang1, Jing Wang2

  • 1College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China.

ISA transactions
|December 3, 2024
PubMed
概括

本研究介绍了多代理系统的分布式控制策略,以实现随时间变化的阵列跟踪,尽管未知领导输入和外部干扰. 该方法确保了强大的形成控制,而不需要全球通信拓信息.

关键词:
适应性干扰观察者是一种适应性干扰观察者.完全分布式的控制器控制器.多代理系统是多代理系统.时间变化的形成跟踪跟踪.

更多相关视频

A Protocol for Real-time 3D Single Particle Tracking
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A Protocol for Real-time 3D Single Particle Tracking

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Force and Position Control in Humans - The Role of Augmented Feedback
06:31

Force and Position Control in Humans - The Role of Augmented Feedback

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相关实验视频

Last Updated: Jun 6, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K
A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

14.8K
Force and Position Control in Humans - The Role of Augmented Feedback
06:31

Force and Position Control in Humans - The Role of Augmented Feedback

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科学领域:

  • 控制理论 控制理论
  • 机器人技术 机器人技术 机器人技术
  • 网络化系统 网络化系统

背景情况:

  • 多代理系统 (MAS) 在协调任务中面临挑战,例如形成跟踪.
  • 未知的领导输入和外部干扰会降低系统性能和稳定性.
  • 现有的方法通常需要全球信息或与动态环境作斗争.

研究的目的:

  • 解决线性MAS的时间变化的形成跟踪 (TVFT) 问题.
  • 开发一个针对未知领导输入和外部干扰的强大的分布式控制协议.
  • 确保MAS可以在不确定的条件下实现所需的时间变化的构成.

主要方法:

  • 适应性干扰观察员和状态观察员的设计,以估计未知的状态和干扰.
  • 开发一个具有自适应合参数的完全分布式TVFT协议.
  • 将控制器修改为连续版本以减轻喋喋不休.

主要成果:

  • 拟议的分布式控制器可以通过定向跨度树来对MAS进行非对称的时间变化的形成跟踪.
  • 该系统有效地拒绝来自未知的外部系统的未知外部干扰.
  • 控制器不需要对通信拓学的全局知识.

结论:

  • 开发的自适应分布式控制策略有效地解决了在显著不确定性情况下的TVFT问题.
  • 该方法在定向网络拓中提供了对未知的干扰和领导输入的稳定性.
  • 持续的控制器修改成功地解决了潜在的聊天问题.