TY - JOUR
T1 - A novel unknown input interval observer for systems not satisfying relative degree condition
AU - Wang, Xianghua
AU - Tan, Chee Pin
AU - Liu, Lanjun
AU - Qi, Qingyuan
N1 - Funding Information:
information National Natural Science Foundation of China, 61973197; 61603222; Shandong University of Science and Technology Research Fund, 2018YQJH101This work was supported by the National Natural Science Foundation of China under Grants 61973197, 61603222, Shandong University of Science and Technology Research Fund 2018YQJH101, 2019 Major Research Fund of Shandong Province of China 2019RKB01029, and Research Fund for the Taishan Scholar Project of Shandong Province of China.
Publisher Copyright:
© 2021 John Wiley & Sons Ltd.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/5/10
Y1 - 2021/5/10
N2 - In this article, a novel unknown input interval observer (UIIO) is proposed for systems not satisfying the relative degree condition. In interval estimation, estimation errors are required not only positive but also convergent. For this purpose, some works combined unknown input observer with interval estimation, namely UIIO where by virtue of some transformations, some states are expressed as functions of outputs and other states which are decoupled from the unknown input. Nevertheless, complete decoupling can be guaranteed when the systems satisfy relative degree condition, which does not hold for some practical systems. Although some works have been done to relax the requirement on relative degree condition, they usually construct auxiliary outputs using high-order differentiators which necessitates that the signals are smooth enough as well as that their derivatives are bounded, limiting the application of existing approaches and also increasing the computational cost. Motivated by the discussions above, a novel UIIO scheme combining the interval observation technique with adaptive sliding mode is proposed, without the relative degree condition and free from differentiating signals, hence the design process is simplified and the computational cost is decreased. Finally, simulations are conducted to verify the effectiveness of the proposed scheme.
AB - In this article, a novel unknown input interval observer (UIIO) is proposed for systems not satisfying the relative degree condition. In interval estimation, estimation errors are required not only positive but also convergent. For this purpose, some works combined unknown input observer with interval estimation, namely UIIO where by virtue of some transformations, some states are expressed as functions of outputs and other states which are decoupled from the unknown input. Nevertheless, complete decoupling can be guaranteed when the systems satisfy relative degree condition, which does not hold for some practical systems. Although some works have been done to relax the requirement on relative degree condition, they usually construct auxiliary outputs using high-order differentiators which necessitates that the signals are smooth enough as well as that their derivatives are bounded, limiting the application of existing approaches and also increasing the computational cost. Motivated by the discussions above, a novel UIIO scheme combining the interval observation technique with adaptive sliding mode is proposed, without the relative degree condition and free from differentiating signals, hence the design process is simplified and the computational cost is decreased. Finally, simulations are conducted to verify the effectiveness of the proposed scheme.
KW - adaptive sliding mode
KW - interval estimation
KW - relative degree condition
KW - unknown input observer
UR - http://www.scopus.com/inward/record.url?scp=85099946859&partnerID=8YFLogxK
U2 - 10.1002/rnc.5407
DO - 10.1002/rnc.5407
M3 - Article
AN - SCOPUS:85099946859
VL - 31
SP - 2762
EP - 2782
JO - International Journal of Robust and Nonlinear Control
JF - International Journal of Robust and Nonlinear Control
SN - 1049-8923
IS - 7
ER -