Jove
Visualize
Contáctanos

Videos de Conceptos Relacionados

Second Order systems II01:18

Second Order systems II

408
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
408
Computed Tomography01:10

Computed Tomography

8.3K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
8.3K
Dynamic Equilibrium02:20

Dynamic Equilibrium

62.7K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
62.7K
First Order Systems01:21

First Order Systems

429
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...
429
Second Order systems I01:20

Second Order systems I

598
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
598
Thermodynamic Systems01:06

Thermodynamic Systems

8.0K
A thermodynamic system is a set of objects whose thermodynamic properties are of interest. The system is considered to be embedded in its surroundings or the environment. The system and its environment can exchange heat and do work on each other through a boundary that separates them. However, the immediate surroundings of the system interact with it directly and therefore have a much stronger influence on its behavior and properties.
Consider an example of  tea boiling in a kettle. The...
8.0K

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

Data gaps and outliers distort critical-slowing-down-based resilience indicators.

Science advances·2026
Same author

Predicting instabilities in transient landforms and interconnected ecosystems.

Nature communications·2026
Same author

Focus issue on recent advances in adaptive dynamical networks.

Chaos (Woodbury, N.Y.)·2025
Same author

Red noise in continuous-time stochastic modelling.

Royal Society open science·2025
Same author

Approximating the bifurcation diagram of weakly and strongly coupled leading-following systems.

Chaos (Woodbury, N.Y.)·2025
Same author

ComplexityMeasures.jl: Scalable software to unify and accelerate entropy and complexity timeseries analysis.

PloS one·2025
Same journal

Exploring mechanisms for reversal of flow in tunicate hearts.

Chaos (Woodbury, N.Y.)·2026
Same journal

State estimation in spatiotemporal chaos via low-rank StatFEM.

Chaos (Woodbury, N.Y.)·2026
Same journal

Universal response functions in driven dissipative tunneling dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

A network-based approach to characterize the dynamics of the coupling field of thermoacoustic oscillators in annular geometry.

Chaos (Woodbury, N.Y.)·2026
Same journal

Data-driven soliton manifold approximations for dark and bright waves: Some prototypical 1D case examples.

Chaos (Woodbury, N.Y.)·2026
Same journal

Gap junction architecture and synchronization clusters in the thalamic reticular nuclei.

Chaos (Woodbury, N.Y.)·2026
Ver todos los artículos relacionados
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

Video Experimental Relacionado

Updated: Feb 4, 2026

Mindfulness in Motion MIM: An Onsite Mindfulness Based Intervention MBI for Chronically High Stress Work Environments to Increase Resiliency and Work Engagement
12:22

Mindfulness in Motion MIM: An Onsite Mindfulness Based Intervention MBI for Chronically High Stress Work Environments to Increase Resiliency and Work Engagement

Published on: July 1, 2015

24.6K

Cálculo de medidas de resiliencia en sistemas dinámicos

Andreas Morr1,2, Christian Kuehn1, George Datseris3

  • 1Department of Mathematics, School of Computation, Information and Technology, Technical University of Munich, Garching bei München, Germany.

Chaos (Woodbury, N.Y.)
|February 2, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta un nuevo marco computacional para evaluar la resiliencia del sistema, ofreciendo un enfoque más accesible y generalizable. El algoritmo desarrollado mejora la comprensión de cómo cambia la resiliencia en diferentes sistemas dinámicos.

Palabras clave:
resilienciasistemas dinámicostransiciones críticasmedidas de resilienciaestabilidad localseñales de alerta temprana

Más Videos Relacionados

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

1.2K
Measurement of Dynamic Force Acted on Water Strider Leg Jumping Upward by the PVDF Film Sensor
07:17

Measurement of Dynamic Force Acted on Water Strider Leg Jumping Upward by the PVDF Film Sensor

Published on: August 3, 2018

6.4K

Videos de Experimentos Relacionados

Last Updated: Feb 4, 2026

Mindfulness in Motion MIM: An Onsite Mindfulness Based Intervention MBI for Chronically High Stress Work Environments to Increase Resiliency and Work Engagement
12:22

Mindfulness in Motion MIM: An Onsite Mindfulness Based Intervention MBI for Chronically High Stress Work Environments to Increase Resiliency and Work Engagement

Published on: July 1, 2015

24.6K
Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

1.2K
Measurement of Dynamic Force Acted on Water Strider Leg Jumping Upward by the PVDF Film Sensor
07:17

Measurement of Dynamic Force Acted on Water Strider Leg Jumping Upward by the PVDF Film Sensor

Published on: August 3, 2018

6.4K

Área de la Ciencia:

  • Teoría de Sistemas Dinámicos
  • Métodos Numéricos
  • Ciencia Computacional

Sus antecedentes:

  • La resiliencia del sistema, la capacidad de resistir perturbaciones, es cada vez más importante en todas las disciplinas.
  • Las métricas de resiliencia actuales a menudo sufren de una mala accesibilidad computacional y una generalización limitada.
  • La teoría de sistemas dinámicos proporciona una base teórica para comprender el comportamiento y la estabilidad del sistema.

Objetivo del estudio:

  • Revisar y reformular las medidas de resiliencia existentes dentro de un marco de sistemas dinámicos.
  • Introducir un algoritmo computacionalmente eficiente para la estimación numérica paralela de la resiliencia.
  • Desarrollar un marco generalizable para evaluar la resiliencia en parámetros de sistema cambiantes.

Principales métodos:

  • Revisión de literatura centrada en medidas de resiliencia a través de la lente de la teoría de sistemas dinámicos.
  • Reformulación de medidas de resiliencia pertinentes en una forma matemática general.
  • Desarrollo de un algoritmo eficiente en recursos para la estimación numérica paralela.
  • Acoplamiento de medidas de resiliencia con la continuación global de atractores para la evaluación dependiente de parámetros.

Principales resultados:

  • Se desarrolló un marco modular y extensible para evaluar la resiliencia del sistema.
  • El marco permite una evaluación consistente de la resiliencia a lo largo de los cambios de parámetros del sistema.
  • Las demostraciones en varios sistemas dinámicos revelaron distintos patrones de cambio de resiliencia.
  • El enfoque proporciona una perspectiva más global que las métricas locales de estabilidad tradicionales.

Conclusiones:

  • El marco desarrollado ofrece un método integral y accesible para cuantificar la resiliencia del sistema.
  • Este trabajo facilita la investigación novedosa sobre señales de alerta temprana para transiciones críticas y comportamientos de escalado universales.
  • Las herramientas computacionales de código abierto permiten investigaciones específicas del sistema y estudios comparativos de resiliencia.