A Sum-of-States Preservation Framework for Open Multiagent Systems With Nonlinear Heterogeneous Coupling

• 成果类型: Article
• 署名作者: Oliva, Gabriele; Franceschelli, Mauro; Gasparri, Andrea; Scala, Antonio
• 署名单位: University Campus Bio-Medico - Rome Italy; University of Cagliari; Roma Tre University; Consiglio Nazionale delle Ricerche (CNR); Istituto dei Sistemi Complessi (ISC-CNR)
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2023.3317728
• 发表日期: 2024
• 页码: 1991-1998
• 关键词: Distributed average consensus; Nonlinear systems; open multiagent systems (OMAS)

摘要

In this article, we develop a general open multiagent systems (OMAS) framework over undirected graphs where the agents' interaction is, in general, nonlinear, time-varying, and heterogeneous, in that the agents interact with different pairwise interaction rules for each link, possibly nonlinear, which may change over time. In particular, assuming the agents interact by exchanging flows, which modify their states, our framework guarantees that the sum of the states of agents participating in the network is preserved. To this end, agents maintain a state variable for each of their neighbors. Upon the disconnection of a neighbor, such a variable is used to completely eliminate the effect of previous interaction with disconnected agents from the overall system. In order to demonstrate the effectiveness of the proposed OMAS framework, we provide a case study focused on average consensus, and, specifically, we develop a sufficient condition on the structure of the agents' interaction guaranteeing asymptotic convergence under the assumption that the network becomes fixed. The article is complemented by simulation results that numerically demonstrate the effectiveness of the proposed method.