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

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

623
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
623
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

96
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...
96
Transformers in Distribution System01:27

Transformers in Distribution System

98
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
98
Distributed Loads01:19

Distributed Loads

510
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
510
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

3.7K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
3.7K
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

105
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
105

You might also read

Related Articles

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

Sort by
Same author

Semantic Channel Capacity of Rayleigh Fading Channels Based on Synonymous Mapping.

Entropy (Basel, Switzerland)·2026
Same author

AI-driven transformer-guided fragment-based discovery of Prostaglandin A1 as a multi-target inhibitor of PSAT1, PARP1, and PIK3CA in ovarian cancer.

Computational biology and chemistry·2026
Same author

Parameter calibration method for car-following models under snowy weather conditions: Integrating an informer time series encoder and physics-informed neural networks.

PloS one·2026
Same author

IPSBrain: A Unified Intelligent Data Analysis Platform for Multimodal Experimental Characterization at Advanced Photon Source.

The journal of physical chemistry. A·2026
Same author

Development of a recombinant adeno-associated virus vector for human T lymphocyte- and natural killer cell-targeted gene therapy.

bioRxiv : the preprint server for biology·2026
Same author

Predictors of In-Hospital Mortality in Patients With Type 2 Diabetes Complicated by Isolated Hyperosmolar Hyperglycemic Syndrome.

Medical science monitor : international medical journal of experimental and clinical research·2026
Same journal

Exact computation of Lyapunov exponents via system parameters in multi-triangle chaotic maps: Bifurcation analysis and circuit realization.

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

Integrating score-based generative modeling and neural ODEs for accurate representation of multiscale chaotic dynamics.

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

A data-driven tuberculosis model with behavioral changes and saturated treatment: Optimal control and cost-effectiveness study.

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

Breathers, rational solutions, and their exact physical spectra in F = 1 spinor Bose-Einstein condensates.

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

Finite invariant sets with bridging points in logistic IFS.

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

Reputation-gated funding sustains cooperation: A spatial production game with selective investment.

Chaos (Woodbury, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: Jun 6, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K

Distributed optimization consensus for multi-agent systems on matrix-weighted networks.

Suoxia Miao1, Ruxin Xiong1, Qing An2

  • 1College of Science, Nanchang Institute of Technology, Nanchang 330099, China.

Chaos (Woodbury, N.Y.)
|December 3, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel distributed optimization algorithm for multi-agent systems (MASs) to achieve consensus in both continuous-time (CT) and discrete-time (DT) settings. The algorithm ensures agents reach agreement on optimization goals within matrix-weighted networks.

More Related Videos

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.0K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.2K

Related Experiment Videos

Last Updated: Jun 6, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.0K
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.2K

Area of Science:

  • Control Theory
  • Networked Systems
  • Optimization

Background:

  • Distributed optimization is crucial for coordinating multi-agent systems (MASs).
  • Consensus problems in MASs are challenging, especially on complex network topologies.
  • Existing methods may not fully address continuous-time (CT) and discrete-time (DT) dynamics simultaneously.

Purpose of the Study:

  • To investigate distributed optimization consensus issues in first-order CT and DT MASs.
  • To propose a novel matrix-weighted distributed optimization algorithm for these systems.
  • To establish conditions for achieving optimization consensus.

Main Methods:

  • Development of a new matrix-weighted distributed optimization algorithm.
  • Application of Lyapunov stability theory for analysis.
  • Utilisation of matrix theory to derive consensus conditions.

Main Results:

  • The proposed algorithm facilitates optimization consensus in both CT and DT MASs.
  • Formal conditions for achieving optimization consensus were derived using stability and matrix theories.
  • Numerical examples validated the effectiveness of the proposed algorithm.

Conclusions:

  • The developed algorithm effectively addresses distributed optimization consensus in MASs.
  • The theoretical conditions derived provide a robust framework for system design.
  • The findings are applicable to various networked control systems requiring coordinated optimization.