Sökning: "Multi agent system"

Visar resultat 1 - 5 av 143 uppsatser innehållade orden Multi agent system.

  1. 1. LEO Satellite Connectivity for flying vehicles

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jinxuan Chen; [2023]
    Nyckelord :LEO satellite network; satellite connectivity strategy; Nash-SAC; flying vehicles; LEO:s satellitnät; Strategi för satellitanslutning; Nash-SAC; flygande fordon;

    Sammanfattning : Compared with the terrestrial network (TN), which can only support limited covered areas, satellite communication (SC) can provide global coverage and high survivability in case of an emergency like an earthquake. Especially low-earth orbit (LEO) satellites, as a promising technology, which is integral to achieving the goal of global seamless coverage and reliable communication, catering to 6G’s communication requirements. LÄS MER

  3. 2. Tenant Separation on a multi-tenant microservice platform

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Axel Sandqvist; [2023]
    Nyckelord :multitenancy; multi-tenant; multitenant; cloud; cloud storage; IAM; Access control; Technology and Engineering;

    Sammanfattning : Axis Communications wishes to investigate their PaaS system, Axis Connected Services(ACX), with regard to separation of the tenants of the platform to ensure the implemented separation technologies are used correctly and to find out whether more separation is necessary. ACX ties together several previously separate services under a single umbrella, with the goal of improving usability and increasing inter-service functionalities and centralisation of the software products Axis has developed for their devices. LÄS MER

  4. 3. Coordinate­Free Spacecraft Formation Control with Global Shape Convergence under Vision­Based Sensing

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Omid Mirzaeedodangeh; [2023]
    Nyckelord :Bispherical Coordinates; 3D Formation Control; Spacecraft Formation Flying; Multiagent Systems; Prescribed Performance Control; Vision-Based Sensing; Bisfäriska Koordinater; 3D Formationskontroll; Rymdfarkostformationsflygning; Multiagentsystem; Föreskriven Prestandakontroll; Synbaserad Avkänning;

    Sammanfattning : Formation control in multi-agent systems represents a groundbreaking intersection of various research fields with lots of emerging applications in various technologies. The realm of space exploration also can benefit significantly from formation control, facilitating a wide range of functions from astronomical observations, and climate monitoring to enhancing telecommunications, and on-orbit servicing and assembly. LÄS MER

  5. 4. Optimal taxation by two-agent reinforcement learning

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Erik Lindau; [2023]
    Nyckelord :;

    Sammanfattning : An economy’s tax policy is one of the vital moments for, on the one hand, stimulating economic growth and labor, and, on the other hand gaining revenues from economic performance. A sufficient level of tax revenues is further important to keep up with governmental obligations and social welfare. LÄS MER

  7. 5. S-MARL: An Algorithm for Single-To-Multi-Agent Reinforcement Learning : Case Study: Formula 1 Race Strategies

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Marinaro Davide; [2023]
    Nyckelord :Reinforcement Learning; Single-to-Multi-Agent; Learning Stability; Exploration-Exploitation trade-off; Race Strategy Optimization; Förstärkningsinlärning; Från en till flera agenter; Stabilitet vid inlärning; Utforskning-exploatering; Optimering av tävlingsstrategier;

    Sammanfattning : A Multi-Agent System is a group of autonomous, intelligent, interacting agents sharing an environment that they observe through sensors, and upon which they act with actuators. The behaviors of these agents can be either defined upfront by programmers or learned by trial-and-error resorting to Reinforcement Learning. LÄS MER