Multi-Objective Rule System Based Control Model with Tunable Parameters for Swarm Robotic Control in Confined Environment

Enhancing the adaptability of Unmanned Aerial Vehicle (UAV) swarm control models to cope with different complex working scenarios is an important issue in this research field. To achieve this goal, control model with tunable parameters is a widely adopted approach. In this article, an improved UAV s...

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Главные авторы:	Yuan Wang, Lining Xing, Junde Wang, Tao Xie, Lidong Chen
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Tsinghua University Press 2024-03-01
Серии:	Complex System Modeling and Simulation
Предметы:	swarm robotics flocking model parameter tuning multi-objective optimization heuristics
Online-ссылка:	https://www.sciopen.com/article/10.23919/CSMS.2023.0022
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