Swarm Control Approach Combining Leader and Predator Agents

This study explores the challenges of identifying and controlling swarm behavior under the influence of external stimuli and environmental factors. We propose to improve the adaptability of swarm control approaches by utilizing a hybrid approach that combines both leader (attractive) and predator (r...

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Bibliographic Details
Published in2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) pp. 19 - 20
Main Author Li, Aiyi
Format Conference Proceeding
LanguageEnglish
Published IEEE 25.09.2023
Subjects
autonomous agents
Behavioral sciences
Control systems
Distributed computing
Engineering profession
Environmental factors
External stimuli
multi-agent system
nonlinear control
Swarm
swarm guidance
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Summary:This study explores the challenges of identifying and controlling swarm behavior under the influence of external stimuli and environmental factors. We propose to improve the adaptability of swarm control approaches by utilizing a hybrid approach that combines both leader (attractive) and predator (repulsive) types of steering agents. To achieve this goal, I plan to complete three research steps during my PhD program and the following academic career. The expected result is to provide theoretical support for practical applications in the field of swarm systems.
DOI:10.1109/ACSOS-C58168.2023.00026