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相关概念视频

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

78
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
78
Classification of Systems-II01:31

Classification of Systems-II

133
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
133
Linear time-invariant Systems01:23

Linear time-invariant Systems

202
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...
202
Feedback control systems01:26

Feedback control systems

268
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...
268
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

321
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....
321
First Order Systems01:21

First Order Systems

81
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
81

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Updated: May 24, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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不确定非线性多代理系统的基于事件的规定的时间输出调节.

Yancheng Yan, Tieshan Li, Hongjing Liang

    IEEE transactions on cybernetics
    |March 3, 2025
    PubMed
    概括

    本研究引入了一个基于事件的控制不确定的非线性多元代理系统 (MASs) 具有有限的通信. 这种新的神经适应方案确保在一定的时间内进行系统调节,节省通信资源.

    科学领域:

    • 控制理论 控制理论
    • 系统工程 系统工程
    • 人工智能的人工智能

    背景情况:

    • 多代理系统 (MAS) 由于不确定性和有限的通信,在输出调节方面面临挑战.
    • 规定的时间控制提供了有限时间的融合,但对通信约束敏感.
    • 事件触发控制策略旨在通过仅在必要时传输数据来减少通信负载.

    研究的目的:

    • 为不确定的非线性MAS开发基于事件的分布式神经适应性规定时间控制方案.
    • 为应对有限的通信资源所带来的挑战,实现规定的时间输出调节.
    • 确保系统状态保持局限,并在用户定义的时间内实现输出调节.

    主要方法:

    • 在没有对外部系统动态的先前了解的情况下,构建分布式的定时观察员以进行状态估计.
    • 实现动态事件触发机制 (DETM),以确保互执行间隔的正下限.
    • 为每个代理产生神经适应的规定的时间控制器,以在紧的集合中保持系统状态.

    主要成果:

    • 观察误差在用户确定的时间内汇聚到零点附近的一个小区域.
    • DETM有效地减少了通信需求,同时保证了积极的互执行间隔.
    • 规范输出在规定的时间内汇聚到用户调节的区域,所有信号仍然有界限.

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  • 齐诺的行为被成功消除了.
  • 结论:

    • 拟议的基于事件的分布式神经适应定时控制方案有效地解决了在通信约束下不确定的非线性MAS的输出调节问题.
    • 该方法确保了有限时间的融合,并节省了通过模拟示例验证的通信资源.