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相关概念视频

Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

551
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
551
Second Order systems II01:18

Second Order systems II

125
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
125
Second Order systems I01:20

Second Order systems I

177
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
177
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

722
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
722
Uncertainty: Overview00:59

Uncertainty: Overview

593
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
593
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

421
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
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Updated: Jul 15, 2025

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对具有不确定性的二阶非线性多代理系统进行事件触发的局限共识跟踪.

Ying Ma1, Chan Gu1, Yungang Liu2

  • 1School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710016, China.

Entropy (Basel, Switzerland)
|September 28, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了面临多种不确定性的非线性多代理系统 (MAS) 事件触发的自适应控制. 提出的方法确保了稳定的系统性能和准确的跟踪,避免了Zeno行为,以实现高效的共识跟踪.

关键词:
适应性控制 适应性控制有界的共识跟踪跟踪具有不确定性的非线性多代理系统.触发机制的触发机制

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相关实验视频

Last Updated: Jul 15, 2025

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科学领域:

  • 控制系统工程 控制系统工程
  • 非线性动力学是一种非线性动力学.
  • 机器人和自动化机器人与自动化

背景情况:

  • 多代理系统 (MAS) 对于分布式任务至关重要,但由于不确定性而面临挑战.
  • 在具有未知参数和干扰的非线性MAS中实现有限共识跟踪是复杂的.
  • 事件触发控制为MAS提供了减少通信和计算的潜力.

研究的目的:

  • 为具有多个不确定性的二阶非线性MAS开发一个事件触发的自适应控制协议.
  • 确保闭环系统内的所有信号具有全球统一的边界.
  • 为了实现强大的共识跟踪,追踪错误的最终边界性.

主要方法:

  • 设计一种新的基于估计的自适应控制协议,其中包含一个事件触发机制.
  • 数学分析通过建立事件间隔的正下界来保证Zeno行为不存在.
  • 利亚普诺夫稳定理论证明了系统信号的全球均边界性.

主要成果:

  • 拟议的事件触发自适应控制协议有效地管理多种不确定性,包括未知的控制系数和外部干扰.
  • 成功避免了Zeno的行为,确保了控制策略的实际实施.
  • 所有闭环系统信号都被证明是全球均的边界.
  • 追踪错误被证明最终汇聚到一个有限的集合,证明有效的共识追踪.

结论:

  • 开发的事件触发的自适应控制策略为在不确定的二级非线性MAS中限制共识跟踪提供了强大的解决方案.
  • 该协议的有效性通过模拟得到验证,展示了其实际适用性.
  • 这项工作有助于推进复杂的多代理系统的高效和稳定的控制方法.