Jove
Visualize
Contact Us

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

415
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
415
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.2K
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...
1.2K
Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

859
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
859
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

889
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
889
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

5.7K
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...
5.7K
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

1.2K
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Selective Trimmed Average: A Resilient Federated Learning Algorithm With Deterministic Guarantees on the Optimality Approximation.

IEEE transactions on cybernetics·2024
Same author

Intelligent Knowledge Distribution: Constrained-Action POMDPs for Resource-Aware Multiagent Communication.

IEEE transactions on cybernetics·2020
Same author

A study of position independent algorithms for phone-based gait frequency detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2015
Same author

Aerostat-based sampling of emissions from open burning and open detonation of military ordnance.

Journal of hazardous materials·2014
Same author

Hierarchical approaches to estimate energy expenditure using phone-based accelerometers.

IEEE journal of biomedical and health informatics·2014
Same author

Hierarchical Linear Models for Energy Prediction using Inertial Sensors: A Comparative Study for Treadmill Walking.

Journal of ambient intelligence and humanized computing·2014
Same journal

A New Human-Likeness and Comfort Index for Robot Movements Along Prescribed Paths.

IEEE transactions on cybernetics·2026
Same journal

Robust Semiglobal and Global Stabilization for Nonlinear Normal Form Systems by Time-Varying Feedback.

IEEE transactions on cybernetics·2026
Same journal

Adaptive Global Asymptotic Output Stabilization of Uncertain Nonlinear Systems Under Dynamic State/Input Quantization.

IEEE transactions on cybernetics·2026
Same journal

Accelerated Distributed Gradient Tracking for Constrained Aggregative Optimization Over Time-Varying Digraphs.

IEEE transactions on cybernetics·2026
Same journal

Small-Gain-Based Plug-and-Play Distributed Control Framework for DC Microgrids With Decentralized Reconfiguration.

IEEE transactions on cybernetics·2026
Same journal

Prescribed-Time Impulsive Control of High-Order Integrator Systems.

IEEE transactions on cybernetics·2026
See all related articles
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 Experiment Videos

Rigidity-Preserving Team Partitions in Multiagent Networks.

Daniela Carboni, Ryan K Williams, Andrea Gasparri

    IEEE Transactions on Cybernetics
    |January 7, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a method to divide multiagent networks into two rigid teams, ensuring network stability. An algorithm efficiently finds these partitions, crucial for robust collaborative systems.

    Related Experiment Videos

    Area of Science:

    • Network science
    • Graph theory
    • Distributed systems

    Background:

    • Network rigidity is vital for collaborative systems.
    • Partitioning networks into rigid sub-teams is a key challenge.
    • Existing methods lack efficient algorithms for rigidity-preserving bipartitions.

    Purpose of the Study:

    • To determine conditions for rigidity-preserving bipartitions in multiagent networks.
    • To develop an efficient algorithm for identifying such partitions.
    • To extend these methods to decentralized network contexts.

    Main Methods:

    • Analysis of network rigidity and graph partitioning.
    • Development of an iterative algorithm based on Z-link edge structure.
    • Adaptation of supergraph search for identifying graph cuts.
    • Extension to decentralized settings using leader election and local communication.

    Main Results:

    • Existence conditions for rigidity-preserving bipartitions are established.
    • An iterative algorithm finds valid partitions in polynomial time.
    • A decentralized approach using local communication is demonstrated.

    Conclusions:

    • The proposed methods enable the creation of topologically rigid sub-teams in multiagent networks.
    • The algorithm offers an efficient and scalable solution for network partitioning.
    • Decentralized implementation ensures applicability in real-world distributed systems.