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Regulation of Linear Systems Using Event-Based Detection Sensors

机译:使用基于事件的检测传感器调节线性系统

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In this paper, we investigate the problem ofregulatinga continuous-time linear time-invariant (LTI) system to a desired point usingdiscrete eventmeasurements from signal change detection sensors with a logarithmic event generation threshold (trigger), which includes the recently developed neuromorphic vision sensors. Existing control algorithms typically only process periodic measurements, and thus, a new class of algorithms needs to be developed that can efficiently process the sensors’asynchronousdiscrete events for control tasks. Thus, we present a novel control design procedure thatregulatesthe hybrid system, consisting of the continuous LTI system and a discrete-event signal change observation model, to a desired set point. Moreover, we provide the set of thresholds (sufficient conditions) for the given system to fulfill the regulation task. The effectiveness of our approach is illustrated on an unstable system.
机译:在本文中,我们调查了 n <斜体xmlns:mml = “ http://www.w3.org/1998/Math/MathML ” xmlns:xlink = “ http://www.w3”的问题。 org / 1999 / xlink “>使用 n na连续时间线性时不变(LTI)系统调节到所需点/ 1998 / Math / MathML “ xmlns:xlink = ” http://www.w3.org/1999/xlink “>离散事件 n来自对数事件生成阈值的信号变化检测传感器的测量值(触发器),其中包括最近开发的神经形态视觉传感器。现有的控制算法通常只处理周期性的测量,因此,需要开发一种新型的算法,可以有效地处理传感器的 n 异步 n离散事件用于控制任务。因此,我们提出了一种新颖的控件设计程序,该程序 n <斜体xmlns:mml = “ http://www.w3.org/1998/Math/MathML ” xmlns:xlink = “ http://www.w3 .org / 1999 / xlink “>将由连续LTI系统和离散事件信号变化观测模型组成的混合系统调节到所需的设定点。此外,我们为给定系统提供了一组阈值(充分条件)以完成调节任务。在不稳定的系统上说明了我们方法的有效性。

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