Event-Driven Multiagent Consensus Disturbance Rejection With Input Uncertainties via Adaptive Protocols
Lina Rong, Xia Liu, Guo‐Ping Jiang, Shengyuan Xu · IEEE Transactions on Systems Man and Cybernetics Systems · 2021
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.