Simultaneous Input and State Estimation for Linear Continuous-Time Systems: A System Augmentation Approach
Available Online July 2016.
- https://doi.org/10.2991/mcae-16.2016.32How to use a DOI?
- unbiased minimum-variance estimation; unknown input filtering; optimal input and state estimation; system augmentation
- 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.
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 -