Distributed average tracking with input saturation

摘要: In this paper, the distributed average tracking (DAT) problem of a multi-agent system with input saturation is considered, whose objective to make each agent track group time-varying reference signals by local saturated inputs. This paper proposes two algorithms based on techniques low-gain feedback and nonsmooth feedback. The first algorithm considers without external inputs under scheme. We show that if matrix references negative semi-definite, then DAT error will be ultimately upper bounded. other bounded inputs, where idea employed. Finally, simulation examples are presented validate theoretical results.