Sampled-Data Control of Nonlinear Multi-Agent Systems via Output-Feedback

Abstract

In this paper, we investigate the problem of output-feedback tracking for a class of nonlinear multi-agent systems by linear sampled-data control. Specifically, through integrating the high-gain homogeneous domination method into sampled-data control, we propose a new linear sampled-data high-gain homogeneous domination control strategy, under which the linear output- feedback sampled-data controller and observer are constructed. The designed output-feedback sampled-data controller is shown to achieve arbitrarily small tracking errors while guaranteeing the global boundedness of all states of the closed-loop system. A simulation example demonstrates the validity of the proposed strategy.