论文标题
线性kuramoto-sivashinsky Systems的采样数据观察者设计非本地输出
Sampled-Data Observer Design for Linear Kuramoto-Sivashinsky Systems with Non-Local Output
论文作者
论文摘要
本文的目的是为线性kuramoto-sivashinsky Systems（LK-S）设计采样的数据观察者（LK-S）提供一种新型的系统方法，并提供了非本地输出。更确切地说，我们扩展了系统采样数据观察者设计方法，该方法基于使用样本间输出预测指标，以对LK-S系统的类别使用。通过使用小型方法，我们提供了足够的条件，以确保在存在测量噪声的情况下估计误差的输入到输出稳定性（IOS）属性。我们的样本间输出预测变量包含一个调谐项，可以显着扩大最大允许采样周期（MASP）。
The aim of this paper is to provide a novel systematic methodology for the design of sampled-data observers for Linear Kuramoto-Sivashinsky systems (LK-S) with non-local outputs. More precisely, we extend the systematic sampled-data observer design approach which is based on the use of an Inter-Sample output predictor to the class of LK-S systems. By using a small-gain methodology we provide sufficient conditions ensuring the Input-to-Output Stability (IOS) property of the estimation errors in the presence of measurement noise. Our Inter-Sample output predictor contains a tuning term which can enlarge significantly the Maximum Allowable Sampling Period (MASP).
