Safe control from signal temporal logic specifications using recurrent neural networks

C. Belta
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Abstract

Temporal logics, such as Linear Temporal Logic (LTL) and Computation Tree Logic (CTL), have been traditionally used as specification languages for digital circuits and computer programs. Due to their expressivity, the availability of tools for verification and synthesis, and recent advances in abstraction techniques for dynamical systems, temporal logics have been increasing used as specification languages in robotics biology, and autonomous driving applications.
从信号时序逻辑规范的安全控制使用循环神经网络
时间逻辑,如线性时间逻辑(LTL)和计算树逻辑(CTL),传统上被用作数字电路和计算机程序的规范语言。由于它们的表现力,验证和综合工具的可用性,以及动态系统抽象技术的最新进展,时间逻辑越来越多地被用作机器人生物学和自动驾驶应用中的规范语言。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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