no code implementations • 1 Nov 2023 • Shuai Feng, Maopeng Ran, Baoyong Zhang, Lihua Xie, Shengyuan Xu
Dynamic quantized mechanisms are designed for inter-follower communication and leader-follower communication.
no code implementations • 24 Aug 2023 • Shuai Feng, Maojiao Ye, Lihua Xie, Shengyuan Xu
To solve the quantizer saturation problem caused by DoS attacks, the quantization mechanism is equipped to have zooming-in and holding capabilities, in which the holding capability is consistent with the results in quantized consensus under DoS.
no code implementations • 1 Jun 2023 • Shuai Feng, Maopeng Ran, Hideaki Ishii, Shengyuan Xu
This paper deals with dynamic quantized consensus of dynamical agents in a general form under packet losses induced by Denial-of-Service (DoS) attacks.
no code implementations • 27 Sep 2022 • Yang Li, Shenglan Yuan, Shengyuan Xu
The mean exit time escaping basin of attraction in the presence of white noise is of practical importance in various scientific fields.
no code implementations • 22 Aug 2022 • Qilong Huang, Qing-Shan Jia, Xiang Wu, Shengyuan Xu, Xiaohong Guan
First, a joint scheduling model of pricing and charging control is developed to maximize the expected social welfare of the charging station considering the Quality of Service and the price fluctuation sensitivity of EV drivers.
1 code implementation • 12 Jun 2022 • Zongyuan Huang, Shengyuan Xu, Menghan Wang, Hansi Wu, Yanyan Xu, Yaohui Jin
Next location prediction is one decisive task in individual human mobility modeling and is usually viewed as sequence modeling, solved with Markov or RNN-based methods.
no code implementations • 1 Nov 2021 • Shengyuan Xu, Wenxiao Zhao, Jing Guo
To address this problem, we propose RefineGAN, a high-fidelity neural vocoder focused on the robustness, pitch and intensity accuracy, and high-speed full-band audio generation.
no code implementations • 30 Sep 2021 • Yang Li, Yubin Lu, Shengyuan Xu, Jinqiao Duan
Despite the wide applications of non-Gaussian fluctuations in numerous physical phenomena, the data-driven approaches to extract stochastic dynamical systems with (non-Gaussian) L\'evy noise are relatively few so far.