Discrete-time system inversion for perfect tracking goes at the expense of intersample behavior. The aim of this article is the development of a discrete-time inversion approach that improves continuous-time performance by also addressing the intersample behavior. The approach balances the on-sample and intersample behavior and provides a whole range of new solutions, with stable inversion and multirate inversion as special cases. The approach is successfully applied to a linear periodically time-varying system in both simulations and experiments. The approach improves the intersample behavior through discrete-time system inversion and outperforms existing approaches.

中文翻译：

---

改进离散时间系统反演中的样本间行为：应用于LTI和LPTV系统

离散时间系统反演以实现完美跟踪的代价是采样间行为。本文的目的是开发一种离散时间反演方法，该方法还通过解决样本间行为来提高连续时间性能。该方法平衡了样本间和样本间的行为，并提供了一系列新的解决方案，在特殊情况下具有稳定的反演和多速率反演。在仿真和实验中，该方法已成功应用于线性周期性时变系统。该方法通过离散时间系统反演改善了样本间行为，并且优于现有方法。