Data-based Analysis Methods for the State Controllability and State Observability of Discrete-time LTI Systems with Time-delays

被引：0

作者：

Wang, Zhuo ^{[1
]}

Wang, Ruigang ^{[2
]}

机构：

[1] Beihang Univ, Res Inst Frontier Sci, 37 Xueyuan Rd, Beijing 100191, Peoples R China

[2] Beihang Univ, Sch Instrumentat & Optoelect Engn, 37 Xueyuan Rd, Beijing 100191, Peoples R China

来源：

JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE | 2020年 / 6卷 / 04期

关键词：

Data-based analysis methods; discrete-time LTI systems with time-delays; high dimensional LTI model; measured state and output data; state controllability and state observability; NETWORKS;

D O I：

10.2991/jrnal.k.200222.006

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

We present a couple of data-based methods to analyze the state controllability and state observability of discrete-time Linear time-Invariant (LTI) systems with time-delays, which have unknown parameter matrices. They first augment the system into a high dimensional LTI model, then apply the measured state and output data to directly build the controllability and observability matrices respectively of this high dimensional model, whose ranks are used as the criteria of the corresponding properties of the system before augmentation. These data-based methods have low computational load and calculation complexity. (C) 2020 The Authors. Published by Atlantis Press SARL.

引用

页码：235 / 239

页数：5

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