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Bearing-distance flocking with zone-based interactions in constrained dynamic environments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00382374" target="_blank" >RIV/68407700:21230/25:00382374 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.jocs.2025.102574" target="_blank" >https://doi.org/10.1016/j.jocs.2025.102574</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jocs.2025.102574" target="_blank" >10.1016/j.jocs.2025.102574</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bearing-distance flocking with zone-based interactions in constrained dynamic environments

  • Original language description

    This paper presents a novel zone-based flocking control approach suitable for dynamic multi-agent systems (MAS). Inspired by Reynolds behavioral rules for boids, flocking behavioral rules with the zones of repulsion, conflict, attraction, and surveillance are introduced. For each agent, using only bearing and distance measurements, behavioral contribution vectors quantify the local separation, local and global flock velocity alignment, local cohesion, obstacle avoidance and boundary conditions, and strategic separation for avoiding alien agents. The control strategy uses the local perception-based behavioral contribution vectors to guide each agent’s motion. Additionally, the control strategy incorporates a directionally aware obstacle avoidance mechanism that prioritizes obstacles in the agent’s forward path. Simulation results validate the effectiveness of the model in creating flexible, adaptable, and scalable flocking behavior. Asymptotic stability and convergence to a stable flocking configuration for any initial conditions provided the interaction graph is a spanning tree are demonstrated. The flocking model’s reliance on locally sensed bearing and distance measurements ensures scalability and robustness, particularly in scenarios where communication is unreliable or resource-intensive. This makes it well-suited for real-world applications demanding seamless operation in highly dynamic and distributed environments.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Computational Science

  • ISSN

    1877-7503

  • e-ISSN

    1877-7511

  • Volume of the periodical

    87

  • Issue of the periodical within the volume

    May

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    12

  • Pages from-to

  • UT code for WoS article

    001457486700001

  • EID of the result in the Scopus database

    2-s2.0-105000796690