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On the construction of safe controllable regions for affine systems with applications to robotics

机译:论机器人应用的仿射系统安全可控区域的构建

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This paper studies the problem of constructing in-block controllable (IBC) regions for affine systems. That is, we are concerned with constructing regions in the state space of affine systems such that all the states in the interior of the region are mutually accessible within the region's interior by applying uniformly bounded inputs. We first show that existing results for checking in-block controllability on given polytopic regions cannot be easily extended to address the question of constructing IBC regions. We then explore the geometry of the problem to provide a computationally efficient algorithm for constructing IBC regions. We also prove the soundness of the algorithm. We then use the proposed algorithm to construct safe speed profiles for robotic systems. As a case study, we present several experimental results on unmanned aerial vehicles (UAVs) to verify the effectiveness of the proposed algorithm; these results include using the proposed algorithm for real-time collision avoidance for UAVs. (C) 2018 Elsevier Ltd. All rights reserved.
机译:本文研究了构建用于仿射系统的嵌段控制(IBC)区的问题。也就是说,我们涉及在仿射系统的状态空间中构建区域,使得该区域内部的所有状态通过应用均匀有界输入来相互访问该区域内部。首先表明,无法轻易扩展为在给定多种子区检查块内可控性的现有结果以解决构建IBC地区的问题。然后,我们探讨了问题的几何形状,以提供用于构建IBC区域的计算有效算法。我们还证明了算法的声音。然后,我们使用所提出的算法来构建机器人系统的安全速度配置文件。作为一个案例研究,我们在无人驾驶飞行器(无人机)上提出了几种实验结果,以验证所提出的算法的有效性;这些结果包括使用所提出的UAV用于实时碰撞避免算法。 (c)2018年elestvier有限公司保留所有权利。

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