Journal of Robotics, Networking and Artificial Life

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Volume 6, Issue 4, March 2020, Pages 235 - 239

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

Authors
Zhuo Wang1, *, Ruigang Wang2
1The Research Institute of Frontier Science, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, People’s Republic of China
2The School of Instrumentation and Optoelectronic Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, People’s Republic of China
*Corresponding author. Email: zhuowang@buaa.edu.cn
Corresponding Author
Zhuo Wang
Received 21 October 2019, Accepted 10 December 2019, Available Online 29 February 2020.
DOI
10.2991/jrnal.k.200222.006How to use a DOI?
Keywords
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
Abstract

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.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
6 - 4
Pages
235 - 239
Publication Date
2020/02/29
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.k.200222.006How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Zhuo Wang
AU  - Ruigang Wang
PY  - 2020
DA  - 2020/02/29
TI  - Data-based Analysis Methods for the State Controllability and State Observability of Discrete-time LTI Systems with Time-delays
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 235
EP  - 239
VL  - 6
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.200222.006
DO  - 10.2991/jrnal.k.200222.006
ID  - Wang2020
ER  -