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Boolean Composability of Constraints and Control Synthesis for Multi-Robot Systems via Nonsmooth Control Barrier Functions

机译:通过非机器人控制屏障功能对多机器人系统的约束和控制合成的布尔可兼容性

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From mobile sensor networks to autonomous transportation systems, multi-agent solutions have been proposed to accomplish a variety of tasks. However, these systems typically require satisfaction of multiple constraints, such as safety or connectivity maintenance, while completing their primary objectives. Barrier functions represent one method to enforce such constraints via forward set invariance, and this work extends recent results on Boolean composition of nonsmooth barrier functions by explicitly addressing controlled systems, resulting in nonsmooth control barrier functions. The presented results permit a discontinuous controller, which is particularly amenable to control synthesis, and this paper develops an almost-active gradient for Boolean compositions of nonsmooth control barrier functions, which, when included as a constraint to a quadratic program, yields a valid controller. To verify these theoretical findings, the experimental results encode a series of constraints and synthesize a controller for a leader-follow team of mobile robots in real time.
机译:从移动传感器网络到自动运输系统,已经提出了多种代理解决方案来完成各种任务。然而,这些系统通常需要满足多个约束,例如安全或连接维护,同时完成其主要目标。屏障函数代表一种方法来通过前向集不变性强制执行此类约束,并且该工作通过显式寻址控制系统扩展了NonsMooth屏障功能的Boolean组成的结果,从而导致非光滑控制屏障功能。所呈现的结果允许不连续的控制器,其特别适合控制合成,并且本文为非流动控制屏障函数的布尔组成开发了几乎活性的梯度,当包括作为二次程序的约束时,产生有效控制器。为了验证这些理论发现,实验结果是一系列约束,并实时为移动机器人队的领导者合成控制器。

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