Betweenness Centrality-Based Consensus Protocol for Second-Order Multiagent Systems With Sampled-Data
针对时变采样的二阶多智能体系统，首次将介数中心性概念引入领导者跟随一致性协议设计，通过构造Lyapunov-Krasovskii泛函建立线性矩阵不等式判据，并用数值例子验证了有效性。
This paper designs a new leader-following consensus protocol for second-order multiagent systems with time-varying sampling. For the first time in designing a leader-following protocol, the concept of betweenness centrality is adopted to analyze the information flow in the consensus problem for multiagent systems. By construction of a suitable Lyapunov-Krasovskii functional, some criteria for designing consensus protocols of such systems are established in terms of linear matrix inequalities which can be easily solved by various effective optimization algorithms. One numerical example is given to illustrate the validity of the proposed argument.