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相关概念视频

Network Function of a Circuit01:25

Network Function of a Circuit

292
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
292
Control Systems: Applications01:25

Control Systems: Applications

620
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
620
Signal and System01:26

Signal and System

670
A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional...
670
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

251
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
251
State Space Representation01:27

State Space Representation

210
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
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Second-Order Circuits01:17

Second-Order Circuits

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Integrating two fundamental energy storage elements in electrical circuits results in second-order circuits, encompassing RLC circuits and circuits with dual capacitors or inductors (RC and RL circuits). Second-order circuits are identified by second-order differential equations that link input and output signals.
Input signals typically originate from voltage or current sources, with the output often representing voltage across the capacitor and/or current through the inductor. For example, in...
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相关实验视频

Updated: Jul 9, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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多代理系统的采样数据控制器方案及其对电路网络的应用.

A Stephen1, R Karthikeyan2, C Sowmiya2

  • 1Center for Computational Modeling, Chennai Institute of Technology, Chennai 600 069, India; School of Information and Control Engineering, Kunsan National University, Gunsan-siJeonbuk The Republic of Korea.

Neural networks : the official journal of the International Neural Network Society
|December 3, 2023
PubMed
概括
此摘要是机器生成的。

本研究提出了一种新方法来同步多代理系统 (MASs) 使用采样数据控制,解决状态量化和时间变化的延迟. 该方法通过通过模拟验证的线性矩阵不等式 (LMIs) 确保了领导者跟随者同步.

关键词:
线性矩阵不等式的不等式循环的利亚普诺夫功能.多代理系统是多代理系统.采样数据采集的数据是采样数据.国家量化量化.

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科学领域:

  • 控制理论 控制理论
  • 系统工程 系统工程
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 多代理系统 (MAS) 需要强大的控制策略来协调行为.
  • 状态量化和时间变化的延迟在实现同步方面带来了重大挑战.
  • 现有的方法可能无法充分解决MAS中采样数据控制的复杂性.

研究的目的:

  • 开发采样数据控制下MAS的同步标准.
  • 为了考虑状态量化和控制设计中的时间变化的延迟.
  • 确保领导者和追随者系统之间的可靠同步.

主要方法:

  • 开发了一种新的循环莱普诺夫-克拉索夫斯基函数 (LKF).
  • 在LKF集成采样间隔信息进行同步.
  • 同步条件是用线性矩阵不等式 (LMI) 来表达的.

主要成果:

  • 拟议的方法建立了明确的同步标准.
  • LMI 提供了一个计算可处理的条件,用于控制器设计.
  • 可行性和有效性通过数值模拟和比较分析得到证实.

结论:

  • 开发的采样数据控制方法有效地实现了MASS中的同步.
  • 该方法成功地处理了状态量化和时间变化的延迟.
  • 基于LMI的解决方案为MAS同步提供了一个实用的工具.