论文标题
具有部分未知状态矩阵和延迟测量的LTV系统的自适应观察者
Adaptive observer for a LTV system with partially unknown state matrix and delayed measurements
论文作者
论文摘要
考虑到未知时间变化的参数和延迟的输出测量值的线性时变（LTV）系统的自适应状态观察者合成问题。国家观察问题引起了许多研究人员的注意[4] $。在本文中，开发了$ [2] $，$ [9] $，$ [10] $的结果。据认为，状态矩阵可以表示为已知和未知部分的总和。输出矢量以已知恒定延迟进行测量。提出了一种自适应识别算法，该算法提出了重建未知状态和未知时间变化参数的算法。
Problem of adaptive state observer synthesis for linear time-varying (LTV) system with unknown time-varying parameter and delayed output measurements is considered. State observation problem has attracted the attention of many researchers $[4]$. In this paper the results proposed in the $[2]$, $[9]$, $[10]$ are developed. It is supposed that the state matrix can be represented as sum of known and unknown parts. Output vector is measured with known constant delay. An adaptive identification algorithm which reconstructs unknown state and unknown time varying parameter is proposed.
