Sequential Predictors for Delay Compensation for Perturbed Discrete Time Systems

被引：0

作者：

Mazenc, Frederic ^{[1
]}

Malisoff, Michael ^{[2
]}

机构：

[1] Univ Paris Sud, EPI DISCO INRIA Saclay, Lab Signaux & Syst, Cent Supelec,UMR CNRS 8506,L2S,CNRS, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France

[2] Louisiana State Univ, Dept Math, Baton Rouge, LA 70803 USA

来源：

2020 AMERICAN CONTROL CONFERENCE (ACC) | 2020年

基金：

美国国家科学基金会;

关键词：

Delay; robustness; discrete time; prediction; TO-STATE STABILITY; LINEAR-SYSTEMS; OBSERVER DESIGN; NONLINEAR-SYSTEMS; INPUT; FEEDBACK; STABILIZATION;

D O I：

10.23919/acc45564.2020.9148032

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We provide sequential predictors for delayed time-varying discrete time linear systems with outputs, where the system and output measurements are perturbed by uncertainty. Our predictors ensure input-to-state stability with respect to uncertainties in the system and in the output, under arbitrarily long input delays. Our strategy is to introduce a number of dynamical extensions that equals the length of the input delay. Our example illustrates the usefulness of our control design.

引用

页码：1696 / 1700

页数：5

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