时变滞时的实时跟踪

本文在文4]的基础上,对滞时降阶搜索算法(简称搜索算法>的性质进行了研究,得到了滞时搜索值与模型阶的选取无关、与输入脉冲的冲量无关的结论,建立了搜索有效的充分必要条件,将滞时搜索问题转化为最小样本的搜索问题,从而形成了一种计算量小、跟踪迅速、估计准确、无须任何先验知识的在线估计滞时的方法。仿真结果表明,此法适用于未知结构系统或时变结构系统滞时的实时跟踪。

Real-Time Tracking of Time-Varying Time-Delay

Based on reference 4], this paper studied the properties of the algorithm searching for time-delay by reducing the order. It is confirmed that the estimation of the time-delay is not related to the model order, and independent of the impulsive magnitude of the input pulse. We have obtained the conditions for judging the effectiveness in the estimation of time-delay. The problem of searching for time-delay is transformed into a problem of searching for minimal samples, and a fast method for identifying the time-delay is developed. Simulations show the capabilities of tracking the true time-delay in operation, without the need of any priori knowledge about the structure and parameters of the system. In addition, we can also track the variance of the time-delay by employing the method.