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Distributed coordinated tracking via a variable structure approach - part I: Consensus tracking

机译:通过可变结构方法进行分布式协调跟踪-第一部分:共识跟踪

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This is the first part of a two-part paper on distributed coordinated tracking for a group of autonomous vehicles via a variable structure approach. Here, the term coordinated tracking is used to refer to both consensus tracking and swarm tracking. In the first part of this paper, we focus on the consensus tracking problem where a group of autonomous vehicles can track a (time-varying) virtual leader when the state of the virtual leader is available to only a subset of the group of vehicles. In the case of first-order kinematics, we propose a distributed consensus tracking algorithm without velocity measurements under both fixed and switching network topologies. In particular, we show that distributed consensus tracking can be achieved in finite time. In the case of second-order dynamics, we propose two distributed consensus tracking algorithms without acceleration measurements under, respectively, a fixed and switching network topology. In particular, we show that the proposed algorithms guarantee at least global exponential tracking. For distributed consensus tracking in the case of both first-order kinematics and second-order dynamics, a mild connectivity requirement is proposed by adopting a connectivity maintenance mechanism in which the adjacency matrix is defined in a proper way.
机译:这是关于通过可变结构方法对一组自动驾驶汽车进行分布式协调跟踪的两部分论文的第一部分。在此,术语“协同跟踪”用于指代共识跟踪和群体跟踪。在本文的第一部分中,我们重点讨论共识跟踪问题,即当虚拟领导者的状态仅对车辆组的一部分可用时,一组自动驾驶汽车可以跟踪(随时间变化的)虚拟领导者。对于一阶运动学,我们提出了在固定和交换网络拓扑下都没有速度测量的分布式共识跟踪算法。特别是,我们表明可以在有限的时间内实现分布式共识跟踪。在二阶动力学的情况下,我们提出了两种分别在固定和交换网络拓扑下不进行加速度测量的分布式共识跟踪算法。特别是,我们证明了所提出的算法至少可以保证全局指数跟踪。对于一阶运动学和二阶动力学情况下的分布式共识跟踪,通过采用以适当方式定义邻接矩阵的连通性维护机制,提出了适度的连通性要求。

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