Adaptive Fuzzy Pseudo Inverse Output-Feedback Control for a Class of Asymmetric Hysteresis Nonlinear System

Guoqiang Zhu, Cheng Zhong, Yong Liu, Tao Wang, Xinkai Chen, Xiuvu Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages181-186
Number of pages6
Volume2018-June
ISBN (Print)9781538637050
DOIs
Publication statusPublished - 2018 Aug 10
Externally publishedYes
Event27th IEEE International Symposium on Industrial Electronics, ISIE 2018 - Cairns, Australia
Duration: 2018 Jun 132018 Jun 15

Other

Other27th IEEE International Symposium on Industrial Electronics, ISIE 2018
CountryAustralia
CityCairns
Period18/6/1318/6/15

Fingerprint

Feedback control
Hysteresis
Nonlinear systems
Control surfaces
Closed loop systems
Fuzzy logic
Feedback
Controllers
Uncertainty

Keywords

  • Asymmetric hysteresis
  • Fuzzy logic systems
  • High-gain K-filter
  • Pseudo inverse control

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Cite this

Zhu, G., Zhong, C., Liu, Y., Wang, T., Chen, X., & Zhang, X. (2018). Adaptive Fuzzy Pseudo Inverse Output-Feedback Control for a Class of Asymmetric Hysteresis Nonlinear System. In Proceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018 (Vol. 2018-June, pp. 181-186). [8433600] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE.2018.8433600

Adaptive Fuzzy Pseudo Inverse Output-Feedback Control for a Class of Asymmetric Hysteresis Nonlinear System. / Zhu, Guoqiang; Zhong, Cheng; Liu, Yong; Wang, Tao; Chen, Xinkai; Zhang, Xiuvu.

Proceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018. Vol. 2018-June Institute of Electrical and Electronics Engineers Inc., 2018. p. 181-186 8433600.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhu, G, Zhong, C, Liu, Y, Wang, T, Chen, X & Zhang, X 2018, Adaptive Fuzzy Pseudo Inverse Output-Feedback Control for a Class of Asymmetric Hysteresis Nonlinear System. in Proceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018. vol. 2018-June, 8433600, Institute of Electrical and Electronics Engineers Inc., pp. 181-186, 27th IEEE International Symposium on Industrial Electronics, ISIE 2018, Cairns, Australia, 18/6/13. https://doi.org/10.1109/ISIE.2018.8433600
Zhu G, Zhong C, Liu Y, Wang T, Chen X, Zhang X. Adaptive Fuzzy Pseudo Inverse Output-Feedback Control for a Class of Asymmetric Hysteresis Nonlinear System. In Proceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018. Vol. 2018-June. Institute of Electrical and Electronics Engineers Inc. 2018. p. 181-186. 8433600 https://doi.org/10.1109/ISIE.2018.8433600
Zhu, Guoqiang ; Zhong, Cheng ; Liu, Yong ; Wang, Tao ; Chen, Xinkai ; Zhang, Xiuvu. / Adaptive Fuzzy Pseudo Inverse Output-Feedback Control for a Class of Asymmetric Hysteresis Nonlinear System. Proceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018. Vol. 2018-June Institute of Electrical and Electronics Engineers Inc., 2018. pp. 181-186
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