Zobrazeno 1 - 10
of 992
pro vyhledávání: '"Chen Cen"'
Publikováno v:
Advances in Mechanical Engineering, Vol 16 (2024)
In this paper, the model predictive current control (MPCC) is proposed to reduce the torque ripple of a switched reluctance motor by realizing precise current tracking. The Linear Quadratic Regulator (LQR) is employed to establish the cost functions
Externí odkaz:
https://doaj.org/article/9880208d156e443395affaad81eec62b
Autor:
Chen Zhang, Chen Cen
Publikováno v:
Advances in Mechanical Engineering, Vol 16 (2024)
Traditional finite control set model predictive control (FCS-MPC) selects an optimal voltage vector in one control cycle. However, considering multiple control cycles, it cannot be proved that the voltage vector is optimal, and the uncertainty of PMS
Externí odkaz:
https://doaj.org/article/f9122fc702884fcc8afca99ec6d3055d
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 9, p 396 (2024)
Control technology for wheeled mobile robots is one of the core focuses in the current field of robotics research. Within this domain, model-free adaptive control (MFAC) methods, with their advanced data-driven strategies, have garnered widespread at
Externí odkaz:
https://doaj.org/article/9c3e947a430d4bc98f96e5985af6ea51
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 24, Pp 2656-2663 (2021)
Objective To investigate the effects of long non-coding RNA DUXAP8 on the proliferation, cell cycle and apoptosis of ovarian cancer cells by regulating miR-4677-3p. Methods The expression of DUXAP8 and miR-4677-3p in ovarian cancer tissues and cell l
Externí odkaz:
https://doaj.org/article/2b27ec4022364935b9bb03f925d9e76f
By inducing privacy attacks on NLP models, attackers can obtain sensitive information such as training data and model parameters, etc. Although researchers have studied, in-depth, several kinds of attacks in NLP models, they are non-systematic analys
Externí odkaz:
http://arxiv.org/abs/2409.15868
Autor:
Luo Chao, Jia Ailin, Guo Jianlin, Liu Wei, Yin Nanxin, Chen Cen, Wang Junlei, Gao Xuanbo, Guo Zhiqiang
Publikováno v:
Open Geosciences, Vol 13, Iss 1, Pp 39-48 (2021)
Although stochastic modeling methods can achieve multiple implementations of sedimentary microfacies model in dense well blocks, it is difficult to realize continuous convergence of well spacing. Taking the small high-sinuosity meandering river sedim
Externí odkaz:
https://doaj.org/article/9e1ef039ed6e45e68b25e8c652c61d57
With increasing concerns and regulations on data privacy, fine-tuning pretrained language models (PLMs) in federated learning (FL) has become a common paradigm for NLP tasks. Despite being extensively studied, the existing methods for this problem st
Externí odkaz:
http://arxiv.org/abs/2409.00116
Continual learning enables AI models to learn new data sequentially without retraining in real-world scenarios. Most existing methods assume the training data are balanced, aiming to reduce the catastrophic forgetting problem that models tend to forg
Externí odkaz:
http://arxiv.org/abs/2408.10349
Text-to-image diffusion models have shown the ability to learn a diverse range of concepts. However, it is worth noting that they may also generate undesirable outputs, consequently giving rise to significant security concerns. Specifically, issues s
Externí odkaz:
http://arxiv.org/abs/2408.01014
Adversarial attack has garnered considerable attention due to its profound implications for the secure deployment of robots in sensitive security scenarios. To potentially push for advances in the field, this paper studies the adversarial attack in t
Externí odkaz:
http://arxiv.org/abs/2407.11073