Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Liu Changrui"'
Nonlinear Programs (NLPs) are prevalent in optimization-based control of nonlinear systems. Solving general NLPs is computationally expensive, necessitating the development of fast hardware or tractable suboptimal approximations. This paper investiga
Externí odkaz:
http://arxiv.org/abs/2405.20387
Relative localization (RL) is essential for the successful operation of micro air vehicle (MAV) swarms. Achieving accurate 3-D RL in infrastructure-free and GPS-denied environments with only distance information is a challenging problem that has not
Externí odkaz:
http://arxiv.org/abs/2405.18234
Model mismatch often poses challenges in model-based controller design. This paper investigates model predictive control (MPC) of uncertain linear systems with input constraints, focusing on stability and closed-loop infinite-horizon performance. The
Externí odkaz:
http://arxiv.org/abs/2405.15552
Autor:
Liu, Changrui, Harrar, Solomon W.
In clustered data setting, informative cluster size has been a focus of recent research. In the nonparametric context, the problem has been considered mainly for testing equality of distribution functions. The aim in this paper is to develop inferent
Externí odkaz:
http://arxiv.org/abs/2212.06938
Autor:
Colegate, Stephen, Liu, Changrui
Publikováno v:
The Pi Mu Epsilon Journal, Vol. 14, No. 7, pp. 449-462. 2017
Based on previous work done in this field, we build a dynamical system that describes changes in drug addiction in an isolated population when two addictive substances are available simultaneously. We then use our model to investigate whether the sys
Externí odkaz:
http://arxiv.org/abs/2211.07921
Autor:
Liu, Changrui, Wen, Shengfang, Li, Shuhan, Tian, Yu, Wang, Lanjun, Zhu, Lusheng, Wang, Jun, Kim, Young Mo, Wang, Jinhua
Publikováno v:
In Journal of Environmental Sciences October 2024 144:172-184
Autor:
Liu, Changrui, Shi, Baihui, Guo, Yuchen, Wang, Lanjun, Li, Shuhan, Zhao, Changyu, Zhu, Lusheng, Wang, Jun, Kim, Young Mo, Wang, Jinhua
Publikováno v:
In Environmental Pollution 15 March 2024 345
It is well established that neural networks are vulnerable to adversarial examples, which are almost imperceptible on human vision and can cause the deep models misbehave. Such phenomenon may lead to severely inestimable consequences in the safety an
Externí odkaz:
http://arxiv.org/abs/2009.02738
Autor:
Shi, Baihui, Hou, Kaixuan, Cheng, Chao, Bai, Yao, Liu, Changrui, Du, Zhongkun, Wang, Jinhua, Wang, Jun, Li, Bing, Zhu, Lusheng
Publikováno v:
In Environmental Research 15 December 2023 239 Part 2
Autor:
Liu, Changrui, Zhao, Changyu, Wang, Lanjun, Du, Xiaomin, Zhu, Lusheng, Wang, Jun, Mo Kim, Young, Wang, Jinhua
Publikováno v:
In Environmental Research 15 December 2023 239 Part 1