Event-Driven Multiagent Consensus Disturbance Rejection With Input Uncertainties via Adaptive Protocols
研究了一类一般线性多智能体系统的分布式事件驱动自适应控制方法，通过设计扰动观测器和事件触发规则，在无需全局网络信息和连续通信的情况下实现共识抗扰，并处理了输入不确定性问题。
This article focuses on the multiagent consensus disturbance rejection (MCDR) for groups of general linear individuals by using the distributed event-based adaptive control technique. Based on designing disturbance observers, event-driven control rules involving controllers and actuator updating rules are provided for networks of multiple individuals without and with input uncertainties; the updating rules rely on the state-dependent factor, the exponential decay threshold, and a tuning parameter. For both scenarios, the global information of network topologies is not required in the design and continuous communications between agents can be avoided.