|
|
|
|
|
Tao Yang, Fang Xu, Si Zeng, Shoujun Zhao, Yuwang Liu and Yanbo Wang
This paper presents a novel control strategy for transferring large inertia loads using flexible space manipulators in orbit. The proposed strategy employs a Luenberger state observer and damping-stiffness controller to address issues of large tracking e...
ver más
|
|
|
|
|
|
|
|
|
Wei Shi, Jinzhu Zhang, Lina Li, Ziliang Li, Yanjie Zhang, Xiaoyan Xiong, Tao Wang and Qingxue Huang
Aiming at the robotization of the grinding process in the steel bar finishing process, the steel bar grinding robot can achieve the goal of fast, efficient, and accurate online grinding operation, a multi-layer forward propagating deep neural network (DN...
ver más
|
|
|
|
|
|
|
|
|
Aleksandra Banasiewicz, Forougholsadat Moosavi, Michalina Kotyla, Pawel Sliwinski, Pavlo Krot, Jacek Wodecki and Radoslaw Zimroz
An approach based on an artificial neural network (ANN) for the prediction of NOx emissions from underground load?haul?dumping (LHD) vehicles powered by diesel engines is proposed. A Feed-Forward Neural Network, the Multi-Layer Perceptron (MLP), is used ...
ver más
|
|
|
|
|
|
|
|
|
Steven Guan, Ko-Tsung Hsu and Parag V. Chitnis
Simulation tools for photoacoustic wave propagation have played a key role in advancing photoacoustic imaging by providing quantitative and qualitative insights into parameters affecting image quality. Classical methods for numerically solving the photoa...
ver más
|
|
|
|
|
|
|
|
|
Chengxu Feng, Yasong Luo, Jianqiang Zhang and Houpu Li
The underwater acoustic communication technique for high-speed and highly reliable information transmission in the ocean has been one of the popular research focuses facing the fast-growing information technology sector and the accelerating development o...
ver más
|
|
|
|