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Mobile Objects Control in Three-Dimensional Area Using the Hybrid Decentralized Algorithm

机译:使用混合分散算法的三维区域移动对象控制

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The problem of mobile objects group motion in an uncertain three-dimensional area with obstacles is considered in the paper. The decision of the problem is carried out using a hybrid algorithm that combines the immediate reaction to the obstacles and the scheduling algorithms at the upper level. The reactive component is implemented on the basis of unstable modes, allowing to transform obstacles into repellers. The motion planning is based on heuristic analysis of the data received from the sensory systems and the clustering based on the Delaunay triangulation. The direction of the obstacles bypass and the position of the mobile object in the group are determined as a result of this analysis executing. The method of the trajectory correction by adding the component, generated by the dynamic system transforming into an unstable mode during the obstacles detection, into the upsetting control is proposed in the paper. The proposed algorithms can be implemented decentrally. The analysis of the proposed algorithms is considered and the numerical simulation is performed.
机译:本文考虑了在带有障碍物的不确定三维区域中移动物体群运动的问题。使用混合算法来解决问题,该算法将对障碍的即时反应与较高级别的调度算法相结合。电抗组件是基于不稳定模式实现的,从而可以将障碍物转换为驱蚊器。运动计划基于对从感觉系统接收到的数据的启发式分析,并基于Delaunay三角剖分进行聚类。通过执行该分析来确定障碍物绕过的方向和组中移动物体的位置。提出了通过将动态系统在障碍物检测过程中转变为不稳定模式所产生的分量添加到the粗控制中的轨迹校正方法。所提出的算法可以分散地实现。考虑了所提出算法的分析并进行了数值模拟。

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