TY - GEN
T1 - Adaptive arbitrary-order finite time sliding mode differentiator
AU - Yang, Junyi
AU - Ma, Jie
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/6
Y1 - 2018/7/6
N2 - An adaptive arbitrary-order finite time differentiator is proposed in this paper. High-order derivatives can be estimated in finite time. In order to deal with the difficulty in providing suitable parameters, especially when the order of the differentiator becomes very high, an adaptive mechanism is adopted to tune the parameters in a more efficient way. In addition, taking advantage of the robustness of sliding-mode method, the derivatives can be estimated in the presence of external disturbance. Numerical simulation results are presented to illustrate the effectiveness of the proposed method.
AB - An adaptive arbitrary-order finite time differentiator is proposed in this paper. High-order derivatives can be estimated in finite time. In order to deal with the difficulty in providing suitable parameters, especially when the order of the differentiator becomes very high, an adaptive mechanism is adopted to tune the parameters in a more efficient way. In addition, taking advantage of the robustness of sliding-mode method, the derivatives can be estimated in the presence of external disturbance. Numerical simulation results are presented to illustrate the effectiveness of the proposed method.
KW - adaptive mechanism
KW - finite time differentiator
KW - high order sliding modes
KW - robustness
UR - https://www.scopus.com/pages/publications/85050851701
U2 - 10.1109/CCDC.2018.8407210
DO - 10.1109/CCDC.2018.8407210
M3 - 会议稿件
AN - SCOPUS:85050851701
T3 - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
SP - 643
EP - 648
BT - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th Chinese Control and Decision Conference, CCDC 2018
Y2 - 9 June 2018 through 11 June 2018
ER -