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Information flow and cooperative control of vehicle formations

机译:信息流和车辆编队的协同控制

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We consider the problem of cooperation among a collection of vehicles performing a shared task using intervehicle communication to coordinate their actions. Tools from algebraic graph theory prove useful in modeling the communication network and relating its topology to formation stability. We prove a Nyquist criterion that uses the eigenvalues of the graph Laplacian matrix to determine the effect of the communication topology on formation stability. We also propose a method for decentralized information exchange between vehicles. This approach realizes a dynamical system that supplies each vehicle with a common reference to be used for cooperative motion. We prove a separation principle that decomposes formation stability into two components: Stability of this is achieved information flow for the given graph and stability of an individual vehicle for the given controller. The information flow can thus be rendered highly robust to changes in the graph, enabling tight formation control despite limitations in intervehicle communication capability.
机译:我们考虑了使用车辆间通信来协调他们的行动来执行共享任务的车辆集合之间的合作问题。代数图论的工具被证明可用于对通信网络进行建模,并将其拓扑结构与地层稳定性联系起来。我们证明了一个奈奎斯特准则,该准则使用图拉普拉斯矩阵的特征值来确定通信拓扑对地层稳定性的影响。我们还提出了一种用于车辆之间的分散信息交换的方法。这种方法实现了一种动力系统,该动力系统为每个车辆提供了共同的参考,以用于协同运动。我们证明了一种分离原理,该原理将地层稳定性分解为两个部分:稳定性是给定图形的信息流和给定控制器的单个车辆的稳定性。因此,可以使信息流对图形的变化具有高度的鲁棒性,即使车辆之间的通信能力受到限制,也可以进行严格的编队控制。

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