Delay compensation of discrete-time linear systems by nested prediction

被引:21
|
作者
Liu, Qingsong [1 ]
Zhou, Bin [1 ]
机构
[1] Harbin Inst Technol, Ctr Control Theory & Guidance Technol, Harbin 150001, Peoples R China
来源
IET CONTROL THEORY AND APPLICATIONS | 2016年 / 10卷 / 15期
基金
中国国家自然科学基金; 黑龙江省自然科学基金;
关键词
linear systems; discrete time systems; delays; feedback; closed loop systems; asymptotic stability; delay compensation; discrete-time linear systems; nested predictor feedback controller; time-delay system; state delays; input delays; closed-loop system; DEPENDENT ROBUST STABILITY; RECURRENT NEURAL-NETWORKS; EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; VARYING DELAYS; INPUT DELAYS; STATE; STABILIZATION; DESIGN; SYNCHRONIZATION;
D O I
10.1049/iet-cta.2016.0289
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this study, the authors study the input delay compensation problem for discrete-time linear systems with both state and input delays. Under the assumption that the original time-delay system without input delay can be stabilised by state feedback, a nested predictor feedback controller is established to predict the future states such that the arbitrarily large yet exactly known input delay in the original system is completely compensated. Consequently, it is shown that the closed-loop system consisting of the original time-delay system and the nested prediction feedback controller is asymptotically stable. Under an additional assumption, an explicit nested predictor feedback controller without involving any nested summations is also established. Finally, two numerical examples are carried out to illustrate the obtained theoretical results.
引用
收藏
页码:1824 / 1834
页数:11
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