Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Feedback control systems01:26

Feedback control systems

685
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...
685
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.6K
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...
1.6K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

384
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
384
Control Systems01:10

Control Systems

1.8K
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...
1.8K
Transfer Function in Control Systems01:21

Transfer Function in Control Systems

1.5K
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...
1.5K
Root Loci for Positive-Feedback Systems01:23

Root Loci for Positive-Feedback Systems

318
The Hartley oscillator is a positive feedback system that sustains oscillations by feeding the output back to the input in phase, thereby reinforcing the signal. Positive feedback systems can be viewed as negative feedback systems with inverted feedback signals. In these systems, the root locus encompasses all points on the s-plane where the angle of the system transfer function equals 360 degrees.
The construction rules for the root locus in positive feedback systems are similar to those in...
318

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Biogeographic patterns of potential pathogenic bacteria in the middle and lower reaches of the Yangtze River as well as its two adjoining lakes, China.

Frontiers in microbiology·2022
Same author

Extracellular Vesicles of Mesenchymal Stem Cells Are More Effectively Accessed through Polyethylene Glycol-Based Precipitation than by Ultracentrifugation.

Stem cells international·2022
Same author

Correction: First-in-Class Anti-immunoglobulin-like Transcript 4 Myeloid-Specific Antibody MK-4830 Abrogates a PD-1 Resistance Mechanism in Patients with Advanced Solid Tumors.

Clinical cancer research : an official journal of the American Association for Cancer Research·2022
Same author

Measurements of microjoule-level, few-femtosecond ultraviolet dispersive-wave pulses generated in gas-filled hollow capillary fibers.

Optics letters·2022
Same author

Network pharmacological analysis and molecular docking of Huangqin-Baizhu herb pair in the treatment of threatened abortion.

Medicine·2022
Same author

<i>In situ</i> construction of FeCo alloy nanoparticles embedded in nitrogen-doped bamboo-like carbon nanotubes as a bifunctional electrocatalyst for Zn-air batteries.

Dalton transactions (Cambridge, England : 2003)·2022

Video Experimental Relacionado

Updated: Jan 14, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.8K

Control de seguimiento híbrido activado por eventos con aprendizaje de críticos para sistemas de red no lineales

Ding Wang, Lingzhi Hu, Dongbin Zhao

    IEEE transactions on cybernetics
    |January 12, 2026
    PubMed
    Resumen
    Este resumen es generado por máquina.

    Un nuevo marco de control híbrido activado por eventos (ET) optimiza el seguimiento en sistemas de control de red no lineales. Este método conserva los recursos de la red utilizando críticos adaptativos y reduciendo el disparo continuo, mejorando la estabilidad del sistema.

    Más Videos Relacionados

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

    Published on: August 15, 2020

    5.4K
    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
    10:51

    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

    Published on: March 10, 2011

    14.2K

    Videos de Experimentos Relacionados

    Last Updated: Jan 14, 2026

    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
    11:18

    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

    Published on: March 2, 2015

    10.8K
    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
    08:18

    WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

    Published on: August 15, 2020

    5.4K
    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
    10:51

    An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

    Published on: March 10, 2011

    14.2K

    Área de la Ciencia:

    • Ingeniería de Sistemas de Control
    • Sistemas en Red
    • Dinámica No Lineal

    Sus antecedentes:

    • Los sistemas de control en red (NCS) enfrentan desafíos con ancho de banda limitado y estabilidad.
    • El seguimiento óptimo es crucial para muchas aplicaciones de NCS.
    • El control tradicional basado en eventos requiere una evaluación continua de la condición, lo que consume recursos.

    Objetivo del estudio:

    • Desarrollar un nuevo marco de control híbrido activado por eventos (ET) para sistemas de control de red (NCS) no lineales de tiempo discreto.
    • Abordar el problema de seguimiento óptimo conservando los recursos de la red.
    • Garantizar la estabilidad del sistema de error.

    Principales métodos:

    • Construyó una planta aumentada combinando el estado del sistema y la trayectoria de referencia.
    • Desarrolló un mecanismo híbrido ET con un intervalo constante para el silencio de eventos.
    • Implementó un algoritmo de crítico adaptativo en línea utilizando redes de modelo, crítico y de acción.

    Principales resultados:

    • Transformó el problema de seguimiento óptimo en un problema de regulación óptima.
    • Alivió el ancho de banda limitado de la red y eliminó la evaluación continua de la condición de disparo.
    • Demostró el ajuste en tiempo real de la política de control de seguimiento a niveles óptimos.

    Conclusiones:

    • El marco de control híbrido ET propuesto aborda eficazmente el seguimiento óptimo en NCS no lineales.
    • El método conserva los recursos de la red y mejora la estabilidad del sistema.
    • La técnica del crítico adaptativo permite la optimización en tiempo real de la política de control.