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

DOI

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/mcae-16.2016.32
ID  - Hsieh2016/07
ER  -