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Finite-Rate Real-Time Navigation

机译:有限速率实时导航

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In this paper, we consider a set up in which the plant and controller are local to each other, but are together driven by a remote reference signal that is transmitted through a finite-rate noiseless channel. When control must be done over a communication channel, there is a fundamental tradeoff between allowing enough time for reconstruction of signals over the channel and achieving performance in finite-time. Most work in the area of control under communication constraints have addressed infinite-horizon control objectives (eg. stability, disturbance rejection). In this paper, we study a finite-horizon navigation problem. Our task is to navigate the state of the remote system from a nonzero initial condition, which lies in a bounded set, to as close to the origin as possible in finite-tune. We compute lower and upper bounds on the worst-case performance as a function of the channel rate, time horizon, and system parameters. We achieve the lower bound with a noncausal coding scheme and show that imposing causality on the coding scheme degrades performance. We illustrate how the bounds behave under various scenarios and show tradeoffs between time and performance accuracy.
机译:在本文中,我们考虑一种设置,其中工厂和控制器彼此位于本地,但由通过有限速率无噪声通道传输的远程参考信号共同驱动。当必须在通信通道上进行控制时,在为通道上的信号重构留出足够的时间与在有限时间内实现性能之间存在一个基本的权衡。在通信约束下的控制领域中的大多数工作都针对无限水平的控制目标(例如,稳定性,干扰抑制)。在本文中,我们研究了有限水平导航问题。我们的任务是将远程系统的状态从有限范围内的非零初始条件导航到尽可能接近原点的状态,该初始条件位于有界集合中。我们根据信道速率,时间范围和系统参数来计算最坏情况下性能的上限和下限。我们使用非因果编码方案实现了下界,并表明将因果关系强加于编码方案会降低性能。我们说明了边界在各种情况下的行为方式,并显示了时间和性能准确性之间的权衡。

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