Cooperative Output Tracking of Heterogeneous Uncertain Nonlinear Multi-Agent Systems via Distributed Event-Triggered Adaptive Fuzzy Control
Anqing Wang, Lu Liu, Jianbin Qiu · 2021
In this study, the cooperative output tracking problem is addressed for strict-feedback uncertain nonlinear multiagent systems. A novel distributed adaptive fuzzy control strategy is developed based on the event-triggered transmission scheme. With the proposed approach, only sampled output information needs to be exchanged among the communication network, which not only reduces the communication burden, but also makes the controller implementation more flexible. In addition, Zeno behavior is avoided and the cooperative output tracking error converges to an adjustable set around the origin by choosing different design parameters. The effectiveness of the main result is verified by a simulation example.