Zobrazeno 1 - 10
of 13 537
pro vyhledávání: '"Cuicui An"'
Publikováno v:
IEEE Access, Vol 9, Pp 69724-69734 (2021)
In this paper, an adaptive sliding mode controller based on a long and short-term memory fuzzy neural network (ASMC-LSTMFNN) is proposed to suppress harmonics for an active power filter (APF). Firstly, a mathematical dynamic model of a single-phase s
Externí odkaz:
https://doaj.org/article/c6c5f47f520b403cbe3d478b6961073e
Publikováno v:
IEEE Access, Vol 9, Pp 114294-114307 (2021)
A fuzzy multiple hidden layer neural sliding mode control with multiple feedback loop (FMHLNSMCMFL) is proposed for a single-phase active power filter (APF), where a sliding mode controller is designed to make the current tracking error converge to z
Externí odkaz:
https://doaj.org/article/6e50b91424434d65ab9acaf8bbe84be4
Autor:
Tang, Yuanjiang, Wang, Chenyang, Liu, Bei, Peng, Jin, Liang, Chao, Li, Yaohua, Zhao, Xian, Lu, Cuicui, Zhang, Shuang, Liu, Yong-Chun
Spontaneous symmetry breaking plays a pivotal role in physics ranging from the emergence of elementary particles to the phase transitions of matter. The spontaneous breaking of continuous time translation symmetry leads to a novel state of matter nam
Externí odkaz:
http://arxiv.org/abs/2407.07697
Publikováno v:
Mathematics, Vol 11, Iss 3, p 509 (2023)
This paper proposes a non-singular fast terminal sliding mode control (NFTSMC) method for micro gyroscopes with unknown uncertainty based on gated recurrent fuzzy neural networks (GRFNNs). First, taking advantage of non-singular fast terminal sliding
Externí odkaz:
https://doaj.org/article/2f689c3838564a01938c5991e92fcbb4
Autor:
Shi, Hao, Song, Weili, Zhang, Xinting, Shi, Jiahe, Luo, Cuicui, Ao, Xiang, Arian, Hamid, Seco, Luis
The complexity of financial data, characterized by its variability and low signal-to-noise ratio, necessitates advanced methods in quantitative investment that prioritize both performance and interpretability.Transitioning from early manual extractio
Externí odkaz:
http://arxiv.org/abs/2406.18394
Graph autoencoders (GAEs), as a kind of generative self-supervised learning approach, have shown great potential in recent years. GAEs typically rely on distance-based criteria, such as mean-square-error (MSE), to reconstruct the input graph. However
Externí odkaz:
http://arxiv.org/abs/2406.17517
Band crossing points, such as Weyl and Dirac points, play a crucial role in the topological classification of materials and guide the exploration of exotic topological phases. The Berry dipole, a three-dimensional band crossing point beyond the Chern
Externí odkaz:
http://arxiv.org/abs/2405.07569
Few-body physics for anyons has been intensively studied within the anyon-Hubbard model, including the quantum walk and Bloch oscillations of two-anyon states. However, the known theoretical proposal and experimental simulations of two-anyon states i
Externí odkaz:
http://arxiv.org/abs/2405.07424
Publikováno v:
Advances in Mechanical Engineering, Vol 12 (2020)
An adaptive H-infinity tracking control is proposed for a z-axis microgyroscope with system nonlinearities. All the signals can be guaranteed in a bounded range, and tracking error is uniformly ultimately bounded, an H-infinity tracking performance i
Externí odkaz:
https://doaj.org/article/2165c7eb95ca4b3f9d92cc0e9a57d3a2
Vibrational resonance (VR) is a nonlinear phenomenon in which the system response to a weak signal can be resonantly enhanced by applying a high-frequency modulation signal with an appropriate amplitude. The majority of VR research has focused on amp
Externí odkaz:
http://arxiv.org/abs/2402.18852