Reachability-Based Safety Guarantees using Efficient Initializations
Reachability-Based Safety Guarantees using Efficient Initializations
复制标题
使用高效初始化的基于可达性的安全保证
DOI:
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发表时间:
2019
期刊:
影响因子:
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通讯作者:
C. Tomlin
中科院分区:
文献类型:
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作者:
Sylvia L. Herbert;Shromona Ghosh;Somil Bansal;C. Tomlin
Hamilton-Jacobi-Isaacs (HJI) reachability analysis is a powerful tool for analyzing the safety of autonomous systems. This analysis is computationally intensive and typically performed offline. Online, however, the autonomous system may experience changes in system dynamics, external disturbances, and/or the surrounding environment, requiring updated safety guarantees. Rather than restarting the safety analysis, we propose a method of "warm-start" reachability, which uses a user-defined initialization (typically the previously computed solution). By starting with an HJI function that is closer to the solution than the standard initialization, the analysis may take fewer iterations. In this paper we prove that warm-starting will result in guaranteed conservative solutions by over-approximating the states that must be avoided to maintain safety. We additionally prove that for many common problem formulations, warm-starting will result in exact solutions. We demonstrate our method on several illustrative examples with a double integrator, and also with a more practical 10D quadcopter model that experiences changes in mass and disturbances and must update its safety guarantees accordingly. We compare our approach to standard reachability and a recently proposed "discounted" reachability method, and find for our examples that warm-starting is 1:6 times faster than standard and 6:2 times faster than (untuned) discounted reachability.
DOI:
10.1109/sustech.2018.8671362
发表时间:
2018
期刊:
2018 IEEE Conference on Technologies for Sustainability (SusTech
影响因子:
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作者:
Chapman, Margaret P.;Smith, Kevin M.;Cheng, Victoria;Freyberg, David L.;Tomlin, Claire J.
通讯作者:
Tomlin, Claire J.