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Videos de Conceptos Relacionados

Control Systems01:10

Control Systems

1.9K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
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Control Systems: Applications01:25

Control Systems: Applications

1.2K
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...
1.2K
Feedback control systems01:26

Feedback control systems

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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...
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Open and closed-loop control systems01:17

Open and closed-loop control systems

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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
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Transfer Function in Control Systems01:21

Transfer Function in Control Systems

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The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
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Angle of Twist: Problem Solving01:13

Angle of Twist: Problem Solving

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An electric motor applies a torque of 700 N·m to an aluminum shaft, triggering a stable rotation. Two pulleys, B and C, are subjected to torques of 300 N·m and 400 N·m, respectively. The modulus of rigidity is provided as 25 GPa. With the knowledge of the length and diameter of each segment, the twist angle between the two pulleys can be computed. First, a section cut is made between pulleys B and C, and the cut cross-section is analyzed using a free-body diagram. Given that the torque...
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Video Experimental Relacionado

Updated: Feb 4, 2026

Microwave Photonics Systems Based on Whispering-gallery-mode Resonators
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Control difuso de modo deslizante basado en el algoritmo super-twisting para sistemas difusos T-S descriptores

Xiangyu Li1, Weichuan Zhang1, Chunhua Yuan2

  • 1School of Automation and Electrical Engineering, Shenyang Ligong University, Shenyang, 110159, China.

Scientific reports
|February 2, 2026
PubMed
Resumen

Este estudio presenta un nuevo controlador difuso de modo deslizante para sistemas difusos T-S descriptores. El novedoso diseño garantiza la estabilidad del sistema y elimina el ruido sin necesidad de derivadas de la función de pertenencia.

Palabras clave:
sistemas difusos T-S descriptoresmodos deslizantes integralescompensación distribuida en paralelo (PDC)algoritmo super-twisting

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Área de la Ciencia:

  • Ingeniería de Control
  • Sistemas Difusos
  • Control No Lineal

Sus antecedentes:

  • Los sistemas difusos T-S descriptores presentan desafíos de control.
  • Los métodos existentes requieren conocimiento previo de las derivadas de las funciones de pertenencia, lo que limita su aplicabilidad.
  • El ruido es un problema común en el control de modo deslizante.

Objetivo del estudio:

  • Desarrollar un novedoso controlador difuso de modo deslizante basado en el algoritmo super-twisting para sistemas difusos T-S descriptores.
  • Superar la limitación de requerir conocimiento previo de las derivadas de las funciones de pertenencia.
  • Garantizar la continuidad del estado en bucle cerrado y suprimir el ruido.

Principales métodos:

  • Se propuso una innovadora superficie deslizante de tipo integral.
  • Se desarrolló un algoritmo super-twisting multivariable adaptado a sistemas T-S descriptores.
  • Se utilizaron simulaciones numéricas para la validación.

Principales resultados:

  • La superficie deslizante de tipo integral propuesta elimina la necesidad de información de la derivada de la función de pertenencia.
  • El algoritmo super-twisting desarrollado garantiza la estabilidad asintótica del movimiento deslizante.
  • El diseño del controlador garantiza la continuidad de los estados en bucle cerrado y suprime eficazmente el ruido.

Conclusiones:

  • El novedoso marco proporciona una solución robusta y práctica para el control de sistemas difusos T-S descriptores.
  • El método mejora la estabilidad y reduce los fenómenos de ruido indeseables.
  • El enfoque avanza el diseño del control de modo deslizante al relajar supuestos restrictivos.