Sequential Predictors for Linear Time-Varying Systems with Delays in the Vector Field and in the Input
Sequential Predictors for Linear Time-Varying Systems with Delays in the Vector Field and in the Input
复制标题
DOI：
10.1109/cdc.2018.8619238
复制
发表时间：
2018-12
期刊：
影响因子：
--
通讯作者：
Michael A. Malisoff;F. Mazenc
中科院分区：
文献类型：
--
作者：
Michael A. Malisoff;F. Mazenc
我们为一大类线性时变系统提供了新的序列预测器，这些系统在向量场中包含恒定的延迟，在输入中也包含恒定的延迟。我们允许输入延迟任意大。利用基于序列预测器的反馈控制，证明了包含原系统在闭环中的增广系统的全局指数稳定性。我们用识别理论中的一个例子来说明我们的新定理。
We provide new sequential predictors for a large class of linear time-varying systems that contain constant delays in the vector fields and also constant delays in the inputs. We allow the input delays to be arbitrarily large. We prove global exponential stability of the origin for an augmented system that includes the original system in closed loop with our sequential predictors based feedback control. We illustrate our new theorem in an example from identification theory.