Sampled-Data Dynamic Output Feedback Consensus Control of Multi-Agent Systems
Guanglei Zhao, Changchun Hua, Shuang Liu
Abstract
This paper investigates the consensus problem of multi-agent systems (MAS) with sampled-data dynamic output feedback (DOF) control. A distributed DOF control law is designed by utilizing sampled relative output information between neighboring agents, and the sampling period can be asynchronous. For the purpose of consensus analysis and appropriately choosing sampling period, a closed-loop system model with hybrid dynamics is constructed, which incorporates flow/jump dynamics and the sampling period. Based on this model, Lyapunov-based analysis is presented and stability conditions are formally developed. Compared with the existing works, observer design is not required and only sampled relative output information is used, and moreover, the maximum allowable sampling period (MASP) can be explicitly computed. Finally, illustrative examples are provided to demonstrate effectiveness of the proposed DOF control method.