Sequential predictors for delay compensation for discrete time systems with time-varying delays

被引：10

作者：

Mazenc, Frederic ^{[1
]}

Malisoff, Michael ^{[2
]}

Bhogaraju, Indra Narayana Sandilya ^{[3
]}

机构：

[1] Univ Paris Saclay, Inria EPI DISCO, L2S, CNRS,Cent Supelec, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France

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

[3] Louisiana State Univ, Div Elect & Comp Engn, Baton Rouge, LA 70803 USA

来源：

AUTOMATICA | 2020年 / 122卷

基金：

美国国家科学基金会;

关键词：

Delay; Robustness; Discrete time; Prediction;

D O I：

10.1016/j.automatica.2020.109188

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 study time-varying linear discrete time systems with uncertainties and time-varying measurement delays, whose outputs are perturbed by uncertainty. We build sequential predictors, which ensure input-to-state stability with respect to the uncertainties and which can be constructed using output values under arbitrarily long delays. The number of required sequential predictors is any upper bound for the delay in our feedback stabilized closed loop systems. We illustrate our work in a digital control problem for a continuous time system that is discretized through sampling. (c) 2020 Elsevier Ltd. All rights reserved.

引用

页数：9

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