Providing a Basin of Attraction to a Target Region by Computation of Lyapunov-like Functions

Zhikun She, Stefan Ratschan
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引用次数: 17

Abstract

In this paper, we present a method for computing a basin of attraction to a target region for non-linear ordinary differential equations. This basin of attraction is ensured by a Lyapunov-like polynomial function that we compute using an interval based branch-and-relax algorithm. This algorithm relaxes the necessary conditions on the coefficients of the Lyapunov-like function to a system of linear interval inequalities that can then be solved exactly, and iteratively reduces the relaxation error by recursively decomposing the state space into hyper-rectangles. Tests on an implementation are promising.
通过计算类李雅普诺夫函数来提供目标区域的吸引盆地
本文给出了一种计算非线性常微分方程目标区域引力盆地的方法。这个吸引力盆地是由一个李雅普诺夫类多项式函数来保证的,我们使用基于区间的分支松弛算法来计算这个函数。该算法将类李雅普诺夫函数系数的必要条件放宽为可精确求解的线性区间不等式系统,并通过递归地将状态空间分解为超矩形来迭代地减小松弛误差。对实现的测试是有希望的。
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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