Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering

Simultaneous Input and State Estimation for Linear Continuous-Time Systems: A System Augmentation Approach

Authors
Chien-shu Hsieh
Corresponding Author
Chien-shu Hsieh
Available Online July 2016.
DOI
https://doi.org/10.2991/mcae-16.2016.32How to use a DOI?
Keywords
unbiased minimum-variance estimation; unknown input filtering; optimal input and state estimation; system augmentation
Abstract
This paper presents an augmented state observer design for linear time-varying continuous-time systems with unknown inputs. An equivalent augmented state system, which is free of unknown inputs, is derived for the purpose of simultaneous input and state estimation (SISE). It is shown that, through the proposed system augmentation approach, the observer design for SISE problems can be easily solved using well-known techniques. The existence condition of SISE designs is also proposed. An illustrative example is given to show the effectiveness of the proposed results.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
978-94-6252-237-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mcae-16.2016.32How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chien-shu Hsieh
PY  - 2016/07
DA  - 2016/07
TI  - Simultaneous Input and State Estimation for Linear Continuous-Time Systems: A System Augmentation Approach
BT  - Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
PB  - Atlantis Press
SP  - 132
EP  - 136
SN  - 2352-5401
UR  - https://doi.org/10.2991/mcae-16.2016.32
DO  - https://doi.org/10.2991/mcae-16.2016.32
ID  - Hsieh2016/07
ER  -