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Arc Length based Maximal Lyapunov Functions and domains of attraction estimation for polynomial nonlinear systems

机译:基于弧长基于多项式非线性系统吸引估计的最大Lyapunov功能和域

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摘要

In the phase space of a dynamical system containing an asymptotically stable equilibrium point, the Arc Length Function (ALF) is defined as sum of length differential elements of phase trajectories starting from state points and ending at the equilibrium point. It is shown that receding from the origin and verging on the Domain of Attraction (DoA) boundary causes ALF to be increased drastically. According to the latter issue and regarding to other properties, it is shown that ALF is a Maximal Lyapunov Function. To this end, a numerical method to approximate the ALF as a polynomial function is proposed. To ensure that the approximated function has positive value and negative derivative inside the desired region, the homotopy continuation method is used. Thus, the approximated ALF presents an ensured Lyapunov behavior to estimate DoA. The efficacy of the proposed method is demonstrated by several simulation examples. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在包含渐近稳定的平衡点的动态系统的相位空间中,电弧长度函数(ALF)被定义为从状态点开始的相位轨迹的长度差分元件的和,并且在平衡点结束。 结果表明,从景点(DOA)边界领域的起源和验证导致ALF急剧增加。 根据后一种问题并且关于其他属性,显示ALF是最大Lyapunov函数。 为此,提出了一种将ALF近似作为多项式函数的数值方法。 为了确保近似函数在所需区域内具有正值和负导数,使用同型连续方法。 因此,近似的ALF呈现了确保的Lyapunov行为来估计DOA。 通过若干模拟实施例证明了所提出的方法的功效。 (c)2018年elestvier有限公司保留所有权利。

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