Dispersion Formation Control: From Geometry to Distribution
成果类型：
Article
署名作者：
Chen, Jin; Villar, Jesus Bautista; Jayawardhana, Bayu; de Marina, Hector Garcia
署名单位：
Shanghai Jiao Tong University; University of Granada; University of Granada; University of Groningen
刊物名称：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN：
0018-9286
DOI：
10.1109/TAC.2025.3618971
发表日期：
2026
关键词：
摘要：
In this article, we introduce and develop the concept of dispersion formation control, bridging a gap between shape assembly studies in physics and biology and formation control theory. In current formation control studies, the control objectives typically focus on achieving desired local geometric properties, such as interagent distances, bearings, or relative positions. In contrast, our dispersion formation control approach enables agents to directly regulate the dispersion of their spatial distribution, a global variable associated with a covariance matrix. Specifically, we introduce the notion of covariance similarity to define the target spatial dispersion of agents. Building on this framework, we propose two control strategies: a centralized approach to illustrate the key ideas, and a distributed approach that enables agents to control the global dispersion but using only local information. Our stability analysis demonstrates that both strategies ensure exponential convergence of the agents' distribution to the desired dispersion. Notably, controlling a global variable rather than multiple local ones enhances the resiliency of the system, particularly against malfunctioning agents. Simulations validate the effectiveness of the proposed dispersion formation control.