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

BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

603
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....
603
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

1.0K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.0K
Linear time-invariant Systems01:23

Linear time-invariant Systems

537
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...
537
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

1.3K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.3K
Multimachine Stability01:25

Multimachine Stability

259
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
259
Drug Concentration Versus Time Correlation01:15

Drug Concentration Versus Time Correlation

1.4K
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...
1.4K

You might also read

Related Articles

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

Sort by
Same author

A single-center retrospective study of a decade-long experience in managing pediatric lymphatic malformation.

BMC pediatrics·2026
Same author

Lipoblastoma of the head and neck in children: a single-institution study.

BMC pediatrics·2026
Same author

A national multicenter analysis of hospitalization admission records for lymphatic malformation in China from 2016 to 2023.

BMC pediatrics·2026
Same author

Activation of the impaired NAMPT/SIRT7/SOD2 axis restores alveolar progenitor cell renewal in idiopathic pulmonary fibrosis.

The Journal of clinical investigation·2026
Same author

Immortalized AT2 Cell Lines from Healthy and IPF Lungs Enable 2D and 3D Cultures.

bioRxiv : the preprint server for biology·2026
Same author

The clinical consequences of diagnostic delay in sporadic pediatric MEN2B: a case series of 6 children.

European journal of pediatrics·2026

Related Experiment Video

Updated: Oct 22, 2025

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

10.5K

Cluster-Delay Mean Square Consensus of Stochastic Multi-Agent Systems with Impulse Time Windows.

Huan Luo1,2, Yinhe Wang1, Ruidian Zhan1,3,4

  • 1School of Automation, Guangdong University of Technology, Guangzhou 510006, China.

Entropy (Basel, Switzerland)
|August 27, 2021
PubMed
Summary

This study addresses nonlinear stochastic multi-agent systems, achieving consensus using impulsive control within random time windows. It ensures system stability despite external disturbances.

Keywords:
cluster-delay mean square consensusimpulse time windowsimpulsive controlmulti-agent systemsstochastic disturbances

More Related Videos

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.7K
The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents
10:27

The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents

Published on: April 19, 2019

7.1K

Related Experiment Videos

Last Updated: Oct 22, 2025

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

10.5K
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.7K
The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents
10:27

The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents

Published on: April 19, 2019

7.1K

Area of Science:

  • Control Theory
  • Systems Engineering
  • Network Science

Background:

  • Investigating consensus in multi-agent systems is crucial for distributed control.
  • Traditional methods often use continuous control and fixed impulse times.
  • Stochastic disturbances and time window uncertainties pose significant challenges.

Purpose of the Study:

  • To analyze the cluster-delay mean square consensus problem for first-order nonlinear stochastic multi-agent systems.
  • To incorporate impulsive control and random impulse time windows into the system model.
  • To develop stability conditions for achieving consensus under these complex conditions.

Main Methods:

  • Utilizing discrete impulsive control for efficiency and speed.
  • Modeling systems with impulse time windows, where impulses occur randomly within defined intervals.
  • Applying algebraic graph theory and Lyapunov stability theory to derive consensus conditions.
  • Considering the impact of external stochastic disturbances.

Main Results:

  • Derived sufficiency conditions for achieving mean square consensus.
  • Demonstrated the effectiveness of impulsive control within time windows.
  • Validated the theoretical findings through a simulation example.

Conclusions:

  • The proposed impulsive control strategy is effective for achieving consensus in nonlinear stochastic multi-agent systems with impulse time windows.
  • The derived conditions provide a theoretical foundation for designing such systems.
  • The study highlights the feasibility of managing systems with random impulse timing and external noise.