TY - GEN
T1 - Adaptive Fuzzy Pseudo Inverse Output-Feedback Control for a Class of Asymmetric Hysteresis Nonlinear System
AU - Zhu, Guoqiang
AU - Zhong, Cheng
AU - Liu, Yong
AU - Wang, Tao
AU - Chen, Xinkai
AU - Zhang, Xiuvu
N1 - Funding Information:
ACKNOWLEDGMENT This work supported in part by NSF of China under Grant 61673101, 61304015, in part by the Natural Science Foundation of Jilin Province under Grant 20180201009SF, 20170414011GH.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/10
Y1 - 2018/8/10
N2 - In this paper, an adaptive fuzzy output-feedback Pesudo inverse dynamic surface control scheme is proposed for a class of hysteretic nonlinear systems. By using fuzzy logic systems, the system model is extended to a general one. The high-gain observer is designed to estimate the states of the system and deal with the uncertainties and environmental disturbances, therefore there is no need to known the system parameters before designing the controller. The pseudo inverse compensator of the asymmetric hysteresis model is constructed instead of precise inverse model. It is proved that all the signals in the closed-loop systems are semi-globally ultimately uniformly bounded (SUUB). Simulation results show the validity of the proposed scheme.
AB - In this paper, an adaptive fuzzy output-feedback Pesudo inverse dynamic surface control scheme is proposed for a class of hysteretic nonlinear systems. By using fuzzy logic systems, the system model is extended to a general one. The high-gain observer is designed to estimate the states of the system and deal with the uncertainties and environmental disturbances, therefore there is no need to known the system parameters before designing the controller. The pseudo inverse compensator of the asymmetric hysteresis model is constructed instead of precise inverse model. It is proved that all the signals in the closed-loop systems are semi-globally ultimately uniformly bounded (SUUB). Simulation results show the validity of the proposed scheme.
KW - Asymmetric hysteresis
KW - Fuzzy logic systems
KW - High-gain K-filter
KW - Pseudo inverse control
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U2 - 10.1109/ISIE.2018.8433600
DO - 10.1109/ISIE.2018.8433600
M3 - Conference contribution
AN - SCOPUS:85052386310
SN - 9781538637050
T3 - IEEE International Symposium on Industrial Electronics
SP - 181
EP - 186
BT - Proceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th IEEE International Symposium on Industrial Electronics, ISIE 2018
Y2 - 13 June 2018 through 15 June 2018
ER -