32   Artículos

 
en línea
Jiayu Wen, Yanguo Song, Huanjin Wang, Dong Han and Changfa Yang    
Neural networks have been widely used as compensational models for aircraft control designs and as surrogate models for other optimizations. In the case of tiltrotor aircraft, the total number of aircraft states and controls is much greater than that of ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Milan D?unda and Lucia Melníková    
Within the new air traffic management concept, using the Global Navigation Satellite System (GNSS), it is assumed that distance measurement equipment (DME) will be retained. The results of research carried out by several authors have confirmed that globa... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Chunyi Zhang, Zheshan Yuan, Huan Li, Jiongran Wen, Shengkai Zheng and Chengwei Fei    
To enhance the accuracy and efficiency of reliability analysis for an aero-engine vectoring exhaust nozzle (VEN), a multi-extremum adaptive fuzzy network (MEAFN) method is developed by absorbing an adaptive neuro-fuzzy inference system (ANFIS) into the m... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Vladimir Milic, Josip Kasac and Marin Lukas    
This paper presents an approach for the solution of a zero-sum differential game associated with a nonlinear state-feedback H8 H 8 control problem. Instead of using the approximation methods for solving the corresponding Hamilton?Jacobi?Isaacs (HJI) par... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jiang Fan, Qinghao Yuan, Fulei Jing, Hongbin Xu, Hao Wang and Qingze Meng    
The emerging Local Maximum-Entropy (LME) approximation, which combines the advantages of global and local approximations, has an unsolved issue wherein it cannot adaptively change the morphology of the basis function according to the local characteristic... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Hongjiang Yu, Guoshun Yuan, Dewei Kong, Lei Lei and Yuefeng He    
Data analysis and processing system, Neural network system, Accelerator and Coprocessor.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio and Hideki Asai    
Gradient-based methods are popularly used in training neural networks and can be broadly categorized into first and second order methods. Second order methods have shown to have better convergence compared to first order methods, especially in solving hi... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Clemens Zeile, Tobias Weber and Sebastian Sager    
Solving mixed-integer nonlinear programs (MINLPs) is hard from both a theoretical and practical perspective. Decomposing the nonlinear and the integer part is promising from a computational point of view. In general, however, no bounds on the objective v... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Fancheng Zeng, Guanqiu Qi, Zhiqin Zhu, Jian Sun, Gang Hu and Matthew Haner    
With the increase in the complexity and informatization of power grids, new challenges, such as access to a large number of distributed energy sources and cyber attacks on power grid control systems, are brought to load-frequency control. As load-frequen... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Zheng Qiao, Keyu Zhuang, Tong Zhao, Jingze Xue, Miao Zhang, Shuai Cui and Yunlong Gao    
The quadrotor aircraft has the characteristics of simple structure, high attitude maintenance performance and strong maneuverability, and is widely used in air surveillance, post-disaster search and rescue, target tracking and military industry. In this ... ver más
Revista: Applied Sciences    Formato: Electrónico

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