Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Linear time-invariant Systems01:23

Linear time-invariant Systems

A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be calculated...
Transmission-Line Differential Equations01:26

Transmission-Line Differential Equations

Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured from the...
¹H NMR: Long-Range Coupling01:27

¹H NMR: Long-Range Coupling

The coupling interactions of nuclei across four or more bonds are usually weak, with J values less than 1 Hz. While these are usually not observed in spectra, the presence of multiple bonds along the coupling pathway can result in observable long-range coupling.
In alkenes, spin information is communicated via σ–π overlap, as seen in allylic (four-bond) and homoallylic (five-bond) couplings. These coupling interactions are stronger when the σ bond is parallel to the alkene π orbitals.
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

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.
Drug Concentration Versus Time Correlation01:15

Drug Concentration Versus Time Correlation

The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the lowest drug...
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any finite,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Stretch regulated surface roughness controls macrophage inflammatory polarization through adhesion-chromatin coupling.

Frontiers in pharmacology·2026
Same author

Substrate pre-stretch reprograms macrophage behavior through surface topographical remodeling.

Mechanobiology in medicine·2026
Same author

Woody Plant Diversity and Community Structure Along Elevational and Soil Gradients in <i>Betula platyphylla</i> Forests, Southeastern Tibetan Plateau.

Ecology and evolution·2026
Same author

Responses and driving mechanisms of leaf functional traits of Betula platyphylla along an elevational gradient in the Niyang River Basin, southeastern Tibetan Plateau.

BMC plant biology·2026
Same author

Two new species and four new host records of <i>Fusarium</i> species (Nectriaceae, Hypocreales) associated with <i>Semanotus bifasciatus</i> causing <i>Taxodium</i> hybrid 'Zhongshanshan' dieback.

MycoKeys·2026
Same author

Heterogeneity of Treatment Effect for Intra-Aortic Balloon Pump Use Across Lactate Trajectories in Cardiogenic Shock Patients Supported by VA-ECMO: An Analysis of the Chinese Extracorporeal Life Support Registry.

MedComm·2026

Related Experiment Video

Updated: Jun 3, 2026

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

Mixed outer synchronization of coupled complex networks with time-varying coupling delay.

Jun-Wei Wang1, Qinghua Ma, Li Zeng

  • 1School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510006, People's Republic of China. wangjunweilj@yahoo.com.cn

Chaos (Woodbury, N.Y.)
|April 5, 2011
PubMed
Summary

This study introduces mixed outer synchronization (MOS) for complex networks with time-varying delays. A novel controller achieves MOS, enabling simultaneous synchronization, antisynchronization, and amplitude death between network nodes.

More Related Videos

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

Related Experiment Videos

Last Updated: Jun 3, 2026

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

Area of Science:

  • Complex Networks
  • Nonlinear Dynamics
  • Control Theory

Background:

  • Investigating synchronization in complex networks is crucial for understanding emergent behaviors.
  • Time-varying coupling delays introduce significant challenges in achieving network synchronization.

Purpose of the Study:

  • To introduce and investigate a novel outer synchronization behavior called mixed outer synchronization (MOS).
  • To design a nonfragile controller to achieve MOS in complex networks with time-varying delays.

Main Methods:

  • Development of a new outer synchronization concept: mixed outer synchronization (MOS).
  • Design of a nonfragile linear state feedback controller.
  • Analytical proof of controller efficacy using Lyapunov-Krasovskii stability theory.
  • Validation through numerical simulations.

Main Results:

  • Successfully introduced mixed outer synchronization (MOS) for complex networks.
  • Demonstrated that MOS allows simultaneous complete synchronization, antisynchronization, and amplitude death.
  • The proposed controller effectively achieves MOS in networks with time-varying delays.

Conclusions:

  • The novel control strategy effectively achieves mixed outer synchronization in complex networks.
  • The findings offer new possibilities for controlling complex dynamical systems with time-varying delays.