论文部分内容阅读
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。
On the basis of the paper [4], this paper studies the properties of delayed search algorithm (referred to as search algorithm), and obtains the conclusion that the search value of hysteresis has nothing to do with the choice of model order, irrespective of the impulse of input pulse, A sufficient and necessary condition for the search is established to transform the hysteresis search problem into the search problem of the smallest sample. Thus, a method of online estimation hysteresis with small computation, fast tracking, accurate estimation and without any prior knowledge is formed. The simulation results show that this method is suitable for the real-time tracking of the hysteresis of unknown structural systems or time-varying structural systems.