Bipartite Consensus Control of High-Order Multiagent Systems With Unknown Disturbances
研究了存在未知扰动和合作竞争交互的高阶多智能体系统的二分一致性问题，提出了两种自适应控制策略，无需全局信息即可实现二分一致性。
In this paper, a bipartite consensus problem is considered for a high-order multiagent system with unknown disturbances and cooperative-competitive interactions. Two control strategies are proposed to guarantee bipartite consensus for two cases with and without an exogenous system (called leader for simplicity), respectively. Linearly parameterized approaches are applied to describe the time-varying unknown disturbances. Distributed adaptive laws are then designed for the unknown parameters in the disturbances. Adaptive consensus controllers are designed in a fully distributed fashion, which does not rely on any global information. Simulation results are presented to demonstrate the formation of bipartite consensus under the proposed adaptive control strategies.