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相关概念视频

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
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

337
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....
337
Properties of the z-Transform I01:17

Properties of the z-Transform I

162
The z-transform is a fundamental tool in digital signal processing, enabling the analysis of discrete-time systems through its various properties. It is an invaluable tool for analyzing discrete-time systems, offering a range of properties that simplify complex signal manipulations. One fundamental property is linearity. For any two discrete-time signals, the z-transform of their linear combination equals the same linear combination of their individual z-transforms. This property is essential...
162
Signal and System01:26

Signal and System

615
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...
615
Basic Discrete Time Signals01:16

Basic Discrete Time Signals

191
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is...
191
Control Systems: Applications01:25

Control Systems: Applications

573
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...
573

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相关实验视频

Updated: Jun 4, 2025

Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

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对物联网应用程序的离散事件系统规范.

Iman Alavi Fazel1, Gabriel Wainer1

  • 1Systems and Computer Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种使用离散事件系统规范 (DEVS) 的新物联网 (IoT) 架构,以改善系统开发和故障耐受性. 基于模型的方法提高了复杂物联网应用程序的稳定性.

关键词:
德维斯 (DEVS) 是一个这就是为什么物联网物联网物联网.在M&S的过程中,融合传感器 融合传感器 融合传感器

更多相关视频

A Precise and Autonomous System for the Detection of Insect Emergence Patterns
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A Precise and Autonomous System for the Detection of Insect Emergence Patterns

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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相关实验视频

Last Updated: Jun 4, 2025

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08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

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科学领域:

  • 计算机科学 计算机科学
  • 工程 工程师 工程师 工程师
  • 系统理论系统理论

背景情况:

  • 物联网 (IoT) 提供了广泛的应用,但面临着互操作性和复杂性等发展障碍.
  • 简化物联网开发和维护仍然是广泛采用的重大挑战.
  • 现有的架构往往缺乏针对传感器不可靠性和系统集成问题的强度.

研究的目的:

  • 为物联网 (IoT) 系统引入一个强大的,基于模型的架构.
  • 为应对物联网开发的挑战,包括互操作性,复杂性和维护.
  • 为了提高物联网系统对不可靠的传感器数据的故障耐受性.

主要方法:

  • 基于离散事件系统规范 (DEVS) 的新型物联网架构的开发.
  • 整合系统通信的发布/订阅模式.
  • 结合布鲁克斯-伊恩加尔算法来提高故障容忍度.

主要成果:

  • 提出的基于DEVS的架构有效地管理了系统的复杂性,并提高了互操作性.
  • 布鲁克斯-伊恩加算法的集成显著提高了对传感器错误的故障耐受性.
  • 通过全面的家庭自动化案例研究进行验证,证明了其实际适用性.

结论:

  • 基于DEVS的模型驱动方法为物联网系统开发提供了强大的解决方案.
  • 该架构增强了可靠性和容错性,这对于现实世界物联网部署至关重要.
  • 该框架为各种物联网应用提供了可扩展和可维护的解决方案.