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Robust Region Tracking for Swarms via a Novel Utilization of Sliding Mode Control

机译:通过一种新型的滑模控制,对群体进行鲁棒的区域跟踪

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Control of multi-agent autonomous swarms is studied for targeted flocking exercises. The desired decentralized control takes into account robustness against modeling uncertainties as well as bounded unknown forces. In this analysis, we consider the task of driving multiple agents to a moving “target region”, as inter-agent repulsive forces help spread out the agents within the region. An unconventional form of sliding mode control is implemented to provide the robust attraction towards the region’s center. For robustness a finite “boundary layer” is conceived, which corresponds to the desired target region. The flocking control forces are intentionally softened inside this target region, allowing agents to create a uniformly spaced formation guided by the inter-agent repulsion forces. Examples are given for moving circular and elliptical regions which illustrate the effectiveness of the proposed strategy.
机译:针对有针对性的植绒演习,研究了多主体自治群的控制。理想的分散控制考虑了对建模不确定性和有界未知力的鲁棒性。在此分析中,我们考虑将多个特工驱动到移动的“目标区域”的任务,因为特工之间的排斥力有助于在该区域内散布特工。实施了一种非常规形式的滑模控制,以提供对区域中心的强大吸引力。为了鲁棒性,设想了一个有限的“边界层”,它对应于所需的目标区域。植绒控制力在该目标区域内被有意地软化,从而允许药剂在药剂之间的排斥力的引导下形成均匀间隔的构造。给出了移动圆形和椭圆形区域的示例,这些示例说明了所提出策略的有效性。

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