Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Congli Mei"'
Publikováno v:
IEEE Access, Vol 12, Pp 121407-121415 (2024)
In this article, a novel robust adaptive neural network tracking control scheme is presented for a class of uncertain nonlinear systems with quantized inputs and full state constraints. A tan-type barrier Lyaponov function is proposed to constrain al
Externí odkaz:
https://doaj.org/article/3872df7d697c4db18ed980282cbf37e3
Publikováno v:
International Transactions on Electrical Energy Systems, Vol 2023 (2023)
With the development of power electronics technology, permanent magnet brushless DC motors have developed rapidly and are now widely used in electric vehicles, flywheel energy storage, rail transit, and other applications. The stator slot structure i
Externí odkaz:
https://doaj.org/article/26a78e5530734739bca838cc1df35ba2
Publikováno v:
IEEE Access, Vol 9, Pp 9284-9295 (2021)
Aiming to detect concrete defects, we propose a new identification method based on stochastic configuration networks. The presented model has been trained by time-domain and frequency-domain features which are extracted from filtering and decomposing
Externí odkaz:
https://doaj.org/article/b5d17c54400f4043a5247b2abf74ddd6
Publikováno v:
IEEE Access, Vol 9, Pp 542-550 (2021)
In the context of failure control of servo system driven by twin motors, there are still no available results to compensate unknown actuator failures which seem inevitable in practice by adaptive backstepping technique. Therefore, to rise the reliabi
Externí odkaz:
https://doaj.org/article/1a7e8f54868243ee914427b4e0d84816
Publikováno v:
IEEE Access, Vol 7, Pp 4260-4266 (2019)
Actuator aging is generally unavoidable in practice, and it may lead to the degradation of system performance. Therefore, how to resist the uncertainties caused by aging during the system operation is important in modern control systems. In this pape
Externí odkaz:
https://doaj.org/article/33c3ad95b14c462186c10df4a997d24f
Publikováno v:
IEEE Access, Vol 7, Pp 17517-17523 (2019)
In this paper, an event-triggered adaptive control scheme is proposed for the gun control system of a tank subject to not only external disturbances but also uncertain modeling errors and unknown parameters. Compared with the existing results, the up
Externí odkaz:
https://doaj.org/article/1d73fbd730b74c3f84c36f9e799d6e69
Publikováno v:
IEEE Access, Vol 7, Pp 66990-66997 (2019)
Unknown actuator aging is inevitable in practice. However, reviewing the development of control theory, available results of handling actuator aging are still very limited. In this paper, we address such a problem by considering controlling a class o
Externí odkaz:
https://doaj.org/article/98808dc2bc884a86a5aafac0394fb9ae
Publikováno v:
IEEE Access, Vol 7, Pp 38390-38396 (2019)
In this paper, the event-trigger adaptive control problem is investigated for a class of nonlinear systems with unknown external disturbance. An estimator is designed to estimate the unknown upper bound of the disturbance-like term, which presents th
Externí odkaz:
https://doaj.org/article/08a3df1474094b2f844c3de98bb94a01
Publikováno v:
IEEE Access, Vol 6, Pp 78659-78665 (2018)
In this paper, we propose a novel controller design technique which is applicable to nonlinear systems. Based on the classical power shaping methodology, we establish some sufficient conditions which are able to guarantee the stability of the resulti
Externí odkaz:
https://doaj.org/article/54c127b21e40457fa27cbf6115c33e2c
Publikováno v:
Chemical Engineering Transactions, Vol 70 (2018)
For process modelling of complex and dynamic industrial processes, it has been proven that just-in-time learning (JITL) method has some advantages. The key to success of JITL modelling is how to select appropriate relevant samples for modelling. Howe
Externí odkaz:
https://doaj.org/article/28e4096c0ddc4ebaa1191827176bd1b0