Application of the implicit Euler method for the discretization of some classes of nonlinear systems

Alexander Yu. Aleksandrov
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Abstract

The problem of stability preservation under discretization of some classes of nonlinear differential equations systems is studied. Persidskii systems, Lurie systems of indirect control, and systems whose right-hand sides have a canonical structure are considered. It is assumed that the zero solutions of these systems are globally asymptotically stable. Conditions are determined that guarantee the asymptotic stability of the zero solutions for the corresponding difference systems. Previously, such conditions were established for the case where discretization was carried out using the explicit Euler method. In this paper, difference schemes are constructed on the basis of the implicit Euler method. For the obtained discrete systems, theorems on local and global asymptotic stability are proved, estimates of the time of transient processes are derived. For systems with a canonical structure of right-hand sides, based on the approach of V. I. Zubov, a modified implicit computational scheme is proposed that ensures the matching of the convergence rate of solutions to the origin for the differential and corresponding difference systems. It is shown that implicit computational schemes can guarantee the preservation of asymptotic stability under less stringent constraints on the discretization step and right-hand sides of the systems under consideration compared to the constraints obtained using the explicit method. An example is presented illustrating the obtained theoretical conclusions.
隐式欧拉方法在若干非线性系统离散化中的应用
研究了一类非线性微分方程组在离散化条件下的稳定性保持问题。考虑了Persidskii系统、Lurie间接控制系统和其右侧具有正则结构的系统。假设这些系统的零解是全局渐近稳定的。确定了相应差分系统零解渐近稳定的保证条件。以前,这样的条件是建立在使用显式欧拉方法进行离散化的情况下。本文在隐式欧拉方法的基础上构造了差分格式。对于得到的离散系统,证明了局部和全局渐近稳定的定理,导出了暂态过程时间的估计。对于具有正则右侧结构的系统,基于V. I. Zubov的方法,提出了一种改进的隐式计算格式,保证了微分系统和相应的差分系统解的收敛速率与原点的匹配。结果表明,与采用显式方法得到的约束相比,隐式计算格式在对系统的离散步长和右侧约束较宽松的条件下,能够保证系统保持渐近稳定性。最后给出了一个算例来说明所得的理论结论。
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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