Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Yuncan Xue"'
Publikováno v:
IEEE Access, Vol 10, Pp 42396-42403 (2022)
This study develops an adaptive Super-Twisting sliding mode control (STSMC) approach using an output feedback fuzzy neural network (OFFNN) for dynamic systems. The OFFNN approximator is designed to approach the model uncertainty, and a signal feedbac
Externí odkaz:
https://doaj.org/article/68b581b3201d4600a8ef4f88e5178597
Publikováno v:
IEEE Access, Vol 9, Pp 55352-55363 (2021)
In this paper, a fractional-order sliding mode control method based on a double recurrent perturbation fuzzy neural network (DRPFNN) is proposed for a micro gyroscope system with parameter uncertainty and external disturbance. The DRPFNN is used to r
Externí odkaz:
https://doaj.org/article/870e0f14fb7c403bb9fd93de50d08628
Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:1712-1721
In this paper, an approximation-based adaptive fractional sliding mode control scheme is proposed, where a double loop recurrent fuzzy neural network (DLRFNN) is employed to approximate system uncertainties and disturbance. A fractional order term is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d08e91d3d6273bd44f0ae8f077bc26ef
https://doi.org/10.1109/tfuzz.2021.3064704
https://doi.org/10.1109/tfuzz.2021.3064704
Publikováno v:
IEEE Access, Vol 9, Pp 55352-55363 (2021)
In this paper, a fractional-order sliding mode control method based on a double recurrent perturbation fuzzy neural network (DRPFNN) is proposed for a micro gyroscope system with parameter uncertainty and external disturbance. The DRPFNN is used to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dacb0176e7a0141b28bc862bf022d3a
https://doi.org/10.1109/access.2021.3071435
https://doi.org/10.1109/access.2021.3071435
Publikováno v:
Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering.
Unmanned Surface Vehicle (USV) becomes the key point of the development of intelligent marine equipment at home and abroad with its wide application prospects. Path Planning is one of the key technologies for autonomous control of USV. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d727f483043a5b807f363e33bbde2904
https://doi.org/10.1145/3443467.3443827
https://doi.org/10.1145/3443467.3443827
Publikováno v:
2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE).
Public bicycle sharing systems can effectively improve the overall service level of urban public transport. The quality of bicycle sharing system depends on the accurate prediction of the public bicycle demand for each rental point. BP neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8819cbf72040c1919bc4890fbe55fb97
https://doi.org/10.1109/eitce47263.2019.9095056
https://doi.org/10.1109/eitce47263.2019.9095056
Publikováno v:
2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA).
This paper proposes a dynamic surface adaptive fuzzy controller for a three-phase active power filter (APF). In order to deal with the nonlinearity of the active power filter, a fuzzy strategy combining an adaptive backstepping method is proposed whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e76ea155804e484bc111d338924cf5c9
https://doi.org/10.1109/iciea.2017.8282933
https://doi.org/10.1109/iciea.2017.8282933
Publikováno v:
2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA).
Maximum power points tracking (MPPT) techniques are widely utilized in photovoltaic (PV) systems to operate at the peak power of PV array which depends on solar and ambient temperature. In this paper, a novel piecewise adaptive step MPPT algorithm is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::850fb47270ce1cde79e8d744ab6e4b15
https://doi.org/10.1109/iciea.2017.8283104
https://doi.org/10.1109/iciea.2017.8283104
Publikováno v:
ICIT
In this paper, an adaptive neural integral sliding mode controller using neural compensator is presented to deal with the strong nonlinearity and parameter uncertainty for a Micro-Electro-Mechanical Systems (MEMS) vibratory gyroscope. The proposed co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d85ee79809bed4fd31aa0b44a9950352
https://doi.org/10.1109/icit.2016.7474722
https://doi.org/10.1109/icit.2016.7474722
Publikováno v:
ICIT
An optimum ship pilot plan model is proposed by considering the pilot task location, time and the pilot condition. In order to solve the infeasible solution problem, a pseudo travel salesman problem (PTSP) model is presented to describe the model. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d10baf338be6bdf8611e2b51659c1dc
https://doi.org/10.1109/icit.2016.7474955
https://doi.org/10.1109/icit.2016.7474955