参数不确定线性系统的可达性分析

Ertai Luo, Niklas Kochdumper, Stanley Bak
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引用次数: 1

摘要

在现实世界的应用程序中,不确定的参数是规则而不是例外。利用多项式带拓扑的集合传播,提出了具有不确定参数和输入的线性系统的可达性算法。与以前的方法相比,我们的方法能够很好地捕捉可达集的非凸性。在我们的主要结果的基础上,我们展示了如何将可达性算法扩展到处理线性时变系统以及具有时变参数的线性系统。此外,我们的方法为线性定常系统、非线性系统和混合系统的可达性分析开辟了新的可能性。我们将我们的方法与其他最先进的方法进行了比较,在包括9维车辆队列系统在内的两个基准上具有优越的密封性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reachability Analysis for Linear Systems with Uncertain Parameters using Polynomial Zonotopes
In real world applications, uncertain parameters are the rule rather than the exception. We present a reachability algorithm for linear systems with uncertain parameters and inputs using set propagation of polynomial zonotopes. In contrast to previous methods, our approach is able to tightly capture the non-convexity of the reachable set. Building up on our main result, we show how our reachability algorithm can be extended to handle linear time-varying systems as well as linear systems with time-varying parameters. Moreover, our approach opens up new possibilities for reachability analysis of linear time-invariant systems, nonlinear systems, and hybrid systems. We compare our approach to other state of the art methods, with superior tightness on two benchmarks including a 9-dimensional vehicle platooning system.
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