conference paper

Agent Cluster Based on Adaptive Mechanism in Mosaic Warfare

Zhang P.; Yang K.; Ge B.; Huang Y.; Hou Z.

Publication year: 2022
Source / journal: proceedings of the 34th chinese control and decision conference ccdc 2022
Country of origin: China
Language: English
Authors’ affiliations: National University of Defense Technology, Changsha, 410072, China
Import source: Scopus export

Abstract

The battlefield environment under the information warfare is complex and changeable. In order to solve the problem that communication is easily interfered and the combat interaction is not accurate enough in mosaic warfare, the adaptive mechanism is introduced into unmanned combatand and an adaptive cluster model based on "vision-perception-drive"is proposed. The agent with adaptive mechanism perceives the surrounding environment through vision, conducts internal autonomous simulation, and uses the principle of future state maximization(FSM) to decide its own movement direction. Experiments show that the adaptive mechanism can make the agents quickly form a team, and has good robustness. The characteristics of adaptive mechanism without interaction between agents have certain significance for the guidance and development of unmanned cluster cooperative warfare. © 2022 IEEE.

Author keywords

adaptive mechanism, unmanned swarm system, visual perception drive

Open DOI