IEEE Trans Neural Netw Learn Syst. 2017 Sep;28(9):2143-2155. doi: 10.1109/TNNLS.2016.2574830. Epub 2016 Jun 17.
The containment control is studied for the second-order multiagent systems over a heterogeneous network where the position and velocity interactions are different. We consider three cases that multiple leaders are stationary, moving at the same constant speed, and moving at the same time-varying speed, and develop different containment control algorithms for each case. In particular, for the former two cases, we first propose the containment algorithms based on the well-established ones for the homogeneous network, for which the position interaction topology is required to be undirected. Then, we extend the results to the general setting with the directed position and velocity interaction topologies by developing a novel algorithm. For the last case with time-varying velocities, we introduce two algorithms to address the containment control problem under, respectively, the directed and undirected interaction topologies. For most cases, sufficient conditions with regard to the interaction topologies are derived for guaranteeing the containment behavior and, thus, are easy to verify. Finally, six simulation examples are presented to illustrate the validity of the theoretical findings.
针对异构网络中位置和速度相互作用不同的二阶多智能体系统,研究了包含控制问题。我们考虑了三种情况:多个领导者静止、以相同的常速移动和同时以时变速度移动,并为每种情况开发了不同的包含控制算法。特别是对于前两种情况,我们首先基于同构网络中已有的算法提出了包含算法,其中位置相互作用拓扑需要是无向的。然后,我们通过开发一种新算法将结果扩展到具有有向位置和速度相互作用拓扑的一般设置中。对于最后一种具有时变速度的情况,我们分别在有向和无向相互作用拓扑下引入了两种算法来解决包含控制问题。对于大多数情况,我们推导出了关于相互作用拓扑的充分条件,以保证包含行为,因此易于验证。最后,提出了六个仿真示例来说明理论发现的有效性。