Kaa: A Python Implementation of Reachable Set Computation Using Bernstein Polynomials

The Archivist Pub Date : 2020-01-01 DOI:10.29007/rs5n
Edward D. Kim, Parasara Sridhar Duggirala
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引用次数: 5

Abstract

Reachable set computation is one of the many widely-used techniques for the verification of safety properties of dynamical systems. One of the simplest algorithms for computing reachable sets for discrete nonlinear systems uses parallelotope bundles and Bernstein polynomials. In this paper, we describe Kaa, a terse Python implementation of reachable set computation which leverages the widely used symbolic package sympy. Additionally, we simplify the user interface and provide easy-to-use plotting utilities. We believe that our tool has pedagogical value given the simplicity of the implementation and its userfriendliness.
使用Bernstein多项式的可达集计算的Python实现
可达集计算是验证动力系统安全特性的众多常用技术之一。计算离散非线性系统可达集的最简单算法之一是使用平行四边形束和伯恩斯坦多项式。在本文中,我们描述了Kaa,一个可达集计算的简洁Python实现,它利用了广泛使用的符号包sympy。此外,我们简化了用户界面并提供易于使用的绘图工具。考虑到实现的简单性和用户友好性,我们相信我们的工具具有教学价值。
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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