Distributed output‐feedback sampled‐data control of nonlinear multi‐agent systems

Abstract

We study the distributed output-feedback tracking control problem by linear sampled-data control for nonlinear multi-agent systems with unmeasurable states in this paper. Noting that sampled-data control can effectively reduce implementation cost and time, we develop a novel linear sampled-data high-gain homogeneous domination control strategy by integrating backstepping method and high-gain homogeneous domination method into sampled-data control. A series of linear sampled-data output-feedback controllers and reduced-order observers are designed to ensure that the output tracking errors can be tuned arbitrarily small while all states of the closed-loop system are globally bounded. A numerical example is given to verify the effectiveness of the sampled-data strategy.