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pro vyhledávání: '"Fuqiang You"'
Publikováno v:
IEEE Access, Vol 7, Pp 53718-53730 (2019)
In this paper, an adaptive fuzzy controller is investigated for a class of strict-feedback nonlinear state constrained systems with both input delay and unknown control coefficients. Nussbaum gain technique is employed in the design progress to deal
Externí odkaz:
https://doaj.org/article/87f0f2230bc140dfad74f854469d2a88
Publikováno v:
International Journal of Control, Automation and Systems. 20:3222-3232
Autor:
Fuqiang You, Chao Wang
Publikováno v:
International Journal of Control, Automation and Systems. 20:58-72
Autor:
Fuqiang You, Dianlong Wang
Publikováno v:
2022 34th Chinese Control and Decision Conference (CCDC).
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 34:141-150
Publikováno v:
IEEE Access, Vol 7, Pp 53718-53730 (2019)
In this paper, an adaptive fuzzy controller is investigated for a class of strict-feedback nonlinear state constrained systems with both input delay and unknown control coefficients. Nussbaum gain technique is employed in the design progress to deal
Publikováno v:
2021 33rd Chinese Control and Decision Conference (CCDC).
Publikováno v:
2020 Chinese Control And Decision Conference (CCDC).
This paper addresses the problems of states and faults estimation for a class of Takagi-Sugeno (T-S) fuzzy systems subject to simultaneously sensor faults, actuator faults and output disturbances. A Proportional Integral (PI) observer is proposed in
Publikováno v:
Transactions of the Institute of Measurement and Control. 40:2579-2588
This paper studies the problem of robust fault estimation for neutral systems, which is subjected to actuator fault, constant delay and norm bounded external disturbance. Based on the fast adaptive fault estimation (FAFE) algorithm, we focus on the d
Publikováno v:
International Journal of Systems Science. 48:1708-1730
This paper studies the problem of fault estimation FE and the active fault tolerant control FTC for Takagi–Sugeno T-S fuzzy systems with interval time-varying delay and norm-bounded external disturbance. Based on the fast adaptive fault estimation