Weighted Average Consensus of Second-order Multi-agent Systems with Various Intelligence Levels via Sampled-data Control.

In this paper, weighted average consensus of second-order multi-agent systems (MASs) via sampled-data control is investigated. Specially, since the intelligence degree of each agent may be different in practical applications, the concept of intelligence level is introduced to characterize the intelligence degrees of agents in this paper. A novel distributed continuous-time control protocol with various intelligence levels is put forward based on sampled data in order to reduce the updating rates and computational burden of the controller. A necessary and sufficient condition is derived to achieve weighted average consensus under the proposed protocol. Moreover, according to the acquired result, the authors also give the choosing approaches of the feedback gains and sampling period. Finally, several numerical simulations are provided to illustrate the reliability of the theoretical results. [ABSTRACT FROM AUTHOR]