使用无状态RRT进行CPS测试

Abhinav Chawla, Stanley Bak
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引用次数: 1

摘要

信息物理系统(CPS)是由多个物理系统的复杂交互作用而产生的,在自动化现实系统中起着至关重要的作用。在这项工作中,我们提出了一种基于快速探索随机树(RRT)算法改进版本的CPS测试方法,该算法传统上用于解决CPS测试问题背景下的运动规划问题。直接使用RRT测试CPS需要在RRT的每个节点上存储CPS控制器的状态,这通常是内存密集型的。此外,模拟器需要支持从任意状态初始化,这并不总是可能的,特别是对于复杂的仿真环境。我们介绍了改进的RRT算法的进展,该算法不需要在每个节点保存控制器的状态,并且使用9-D模拟点示例系统显示了测试效率的有希望的改进。
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CPS Testing using Stateless RRT
Cyber-Physical Systems (CPS) are created as complex interactions of multiple physical systems and play a vital role in automating real-life systems. In this work, we present a testing methodology for CPS based on modified version of the Rapidly-exploring Random Tree (RRT) algorithm which is used traditionally to solve the motion planning problem in the context of the CPS testing problem. Directly using RRT for testing CPS requires storing the state of the CPS controller at each node of the RRT which is often memory intensive. Further, the simulator needs to support initialization from arbitrary states, which is not always possible, especially for complex simulation environments. We present our progress towards a modified RRT algorithm where the state of the controller is not required to be saved at each node, and show promising improvements in testing efficiency using a 9-D simulated point example system.
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