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About step-length of ZeaD (Zhang et al Discretization) formula 4IgS_Y for future minimization via fan equations

机译:关于ZeaD(Zhang等人的离散化)公式4IgS_Y的步长,以便将来通过风扇方程式最小化

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Future minimization, i.e., discrete time-varying minimization, is a difficult and meaningful problem. It has been successfully solved by Zhang et al using zeroing dynamics (ZD) and discretization formulas. In this paper, a type of discrete-time ZD (DT-ZD) model, which is obtained via utilizing ZeaD (Zhang et al Discretization) formula 4IgS_Y, is analyzed and investigated to ensure its stability. Specifically, via theoretical guarantees, we propose the step-length domain, or say, the effective domain of the step-length, which makes the discrete-time model stable. Additionally, we make further efforts to obtain the step-length optimum which provides the optimal stability of the DT-ZD model. Eventually, numerical experiments are performed to validate the step-length domain and the step-length optimum of the DT-ZD model for future minimization.
机译:未来的最小化,即离散的时变最小化,是一个困难而有意义的问题。 Zhang等人已使用归零动力学(ZD)和离散化公式成功解决了该问题。本文分析并研究了一种利用ZeaD(张等人的离散化)公式4IgS_Y获得的离​​散时间ZD(DT-ZD)模型,以确保其稳定性。具体而言,通过理论上的保证,我们提出了步长域,或者说是步长的有效域,这使离散时间模型变得稳定。此外,我们将进一步努力以获得最佳的步长,从而提供DT-ZD模型的最佳稳定性。最终,进行数值实验以验证DT-ZD模型的步长域和步长最佳值,以用于将来的最小化。

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