|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
Jun Huang and Yidong Zeng
This paper presents a fast trajectory optimization method combining the hp-Legendre pseudospectral method and convex optimization for the 6-Degree-of-Freedom rocket-powered landing problem. To accelerate calculations, this paper combines the Legendre pse...
ver más
|
|
|
|
|
|
|
|
|
Banghua Zhao, Sujun Dong, Chen Ding and Zhiliang Cui
The present study proposes a novel optimization strategy (NOS) for quasi-steady algorithms to optimize the initial error in the fast calculation of conjugate heat transfer (CHT) simulations. In this approach, the change in Nusselt number at the fluid?sol...
ver más
|
|
|
|
|
|
|
|
|
Matias Carandell, Daniel Mihai Toma, Andrew S. Holmes, Joaquín del Río and Manel Gasulla
Wave Energy Converters (WECs) are an ideal solution for expanding the autonomy of surface sensor platforms such as oceanic drifters. To extract the maximum amount of energy from these fast-varying sources, a fast maximum power point tracking (MPPT) techn...
ver más
|
|
|
|
|
|
|
|
|
Yusef Ahsini, Pablo Díaz-Masa, Belén Inglés, Ana Rubio, Alba Martínez, Aina Magraner and J. Alberto Conejero
With the increasing demand for online shopping and home delivery services, optimizing the routing of electric delivery vehicles in urban areas is crucial to reduce environmental pollution and improve operational efficiency. To address this opportunity, w...
ver más
|
|
|
|