Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Zhe, Wu"'
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 2, Pp 2369-2380 (2021)
In the process of wood surface processing, it is easy to cause safety accident. Therefore, it is very necessary to find a new and clean processing method instead. In this paper, the laser automatic processing method is used instead of manual work, ex
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
Planetary gear transmission system is an important transmission part of large machinery and is prone to failure. Aiming at the problem of how to extract fault information from vibration signals of nonlinear and nonstationary planetary gearboxes, a pe
Publikováno v:
Renewable Energy. 162:2380-2396
It is a challenging task to perform the non-linear system state recognition and safety monitoring under strong noise and complex excitation, to tackle this problem, we innovatively propose the variational mode decomposition multiscale holographic tra
Publikováno v:
IEEE Antennas and Wireless Propagation Letters. 19:1365-1369
In this letter, theory concerning scattering of electromagnetic (EM) waves with orbital angular momentum (OAM) is presented, in which a metallic sphere illuminated by OAM waves is adopted to simplify the study. Based on the series expansion and the p
Publikováno v:
Neurocomputing. 388:181-187
This paper addresses the detection problem of intermittent sensor faults for linear time-varying (LTV) systems with stochastic uncertainties. A robust filter is proposed which has advantages of zero mean and minimum state estimation error covariance.
Autor:
Xiang Chen, Wei Fan, Shuang Zhao, Yehong Kuang, Yan Yangtian, Wang Kai, Yong Wang, Yi Li, Shen Ge, Zhe Wu, Xian Wu
Publikováno v:
AAAI
Psoriasis is a chronic skin disease which affects hundreds of millions of people around the world. This disease cannot be fully cured and requires lifelong caring. If the deterioration of Psoriasis is not detected and properly treated in time, it cou
Publikováno v:
Chemical Engineering Research and Design. 155:88-97
This work proposes a real-time model predictive control (MPC) system using control Lyapunov–barrier functions (CLBF) and recurrent neural network (RNN) models to ensure simultaneous closed-loop stability and operational safety for a general class o
Publikováno v:
IFAC-PapersOnLine. 53:11589-11594
In this work, a real-time Control Lyapunov-Barrier Function-based model predictive control (CLBF-MPC) system using recurrent neural network (RNN) models is developed for a general class of nonlinear systems to ensure closed-loop stability and operati
Economic MPC of Nonlinear Processes via Recurrent Neural Networks Using Structural Process Knowledge
Publikováno v:
IFAC-PapersOnLine. 53:11607-11613
This work proposes three methods that incorporate a priori process knowledge into recurrent neural network (RNN) modeling of nonlinear processes to improve prediction accuracy and provide insights on the structure of neural network models. Specifical
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 29:2960-2971
Visual saliency provides important information for understanding scenes in many computer vision tasks. The existing video saliency algorithms mainly focus on predicting spatial and temporal saliency maps. However, these maps are simply fused without