Yan Chenhang, Zhang Wei, Su Housheng, Li Xiaohang
IEEE Trans Cybern. 2022 Sep;52(9):8987-9000. doi: 10.1109/TCYB.2021.3054648. Epub 2022 Aug 18.
The issue of bipartite time-varying formation (BTVF) tracking for linear multiagent systems (MASs) with a leader of unknown input on signed digraphs is investigated. An adaptive nonsmooth protocol is taken in this article that utilizes only the local output feedback information among neighbors and, thus, can avoid employing the eigenvalue information of the Laplacian matrix of the graph. It is proven that if the interaction network of agents containing a spanning tree is structurally balanced, the BTVF tracking can be achieved with a leader of the bounded input via the proposed scheme. This leader-following BTVF includes two time-varying subformations, whose relationship is antagonistic. A convergence analysis of the proposed protocol for MASs is reflected by the Lyapunov method. Finally, the validly numerical simulations are illustrated to show the performance of the proposed schemes.
研究了带符号图上具有未知输入领导者的线性多智能体系统(MAS)的二分时时变编队(BTVF)跟踪问题。本文采用一种自适应非光滑协议,该协议仅利用邻居之间的局部输出反馈信息,从而避免使用图的拉普拉斯矩阵的特征值信息。证明了如果包含生成树的智能体交互网络在结构上是平衡的,那么通过所提出的方案,在有界输入领导者的情况下可以实现BTVF跟踪。这种跟随领导者的BTVF包括两个时变子编队,它们的关系是对抗性的。通过李雅普诺夫方法对所提出的MAS协议进行了收敛性分析。最后,通过有效的数值模拟来说明所提方案的性能。