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In this paper, an improved model predictive control (MPC) is proposed for the matrix converter (MC). First, the conventional MPC which adopts the separately discretized prediction models is discussed. It shows that the conventional MPC ignores the input&...
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Shuang Feng, Chaofan Wei and Jiaxing Lei
In this paper, an improved model predictive control (MPC) is proposed for the matrix converter (MC). First, the conventional MPC which adopts the separately discretized prediction models is discussed. It shows that the conventional MPC ignores the input?...
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Jian Li, Xiaoyan Huang, Feng Niu, Chaojie You, Lijian Wu and Youtong Fang
Finite-control-set model predictive current control (FCS-MPCC) has been widely investigated in the field of motor control. When the discrete motor prediction model is not obtained accurately, prediction error often occurs, which can result in improper de...
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Zhengfang Li, Songlin He, Zhiguo An, Zhengyuan Gao and Shihong Lu
The forming defects of parts mainly include fracture, springback, thermal expansion, and rough surface during electric hot incremental forming, in which the springback and thermal expansion directly affects the dimensional accuracy of parts. In this pape...
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Ioannis Samos, Petroula Louka and Helena Flocas
Data assimilation (DA) integrates observational data with numerical weather predictions to enhance weather forecast accuracy. This study evaluates three regional background error (BE) covariance statistics for numerical weather prediction (NWP) via a var...
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Xuguo Jiao, Daoyuan Zhang, Dongran Song, Dongdong Mu, Yanbing Tian and Haotian Wu
As one of the fastest-growing new energy sources, wind power technology has attracted widespread attention from all over the world. In order to improve the quality of wind power generation, wind speed prediction is an indispensable task. In this paper, a...
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Aamer A. Shah, Almani A. Aftab, Xueshan Han, Mazhar Hussain Baloch, Mohamed Shaik Honnurvali and Sohaib Tahir Chauhdary
The volatility and intermittency of wind energy result in highly unpredictable wind power output, which poses challenges to the stability of the intact power system when integrating large-scale wind power. The accuracy of wind power prediction is critica...
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Andrea Maternová, Matú? Materna, Andrej Dávid, Adam Török and Lucia ?vábová
The main objective of this paper is to underscore the significance of human error as a dominant cause of maritime accidents. The research is based on a comprehensive analysis of 247 maritime accidents, with the aim being to identify human failures occurr...
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C. Purna Chand, M.M. Ali, Borra Himasri, Mark A. Bourassa and Yangxing Zheng
Precise prediction of a cyclone track with wind speed, pressure, landfall point, and the time of crossing the land are essential for disaster management and mitigation, including evacuation processes. In this paper, we use an artificial neural network (A...
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Xu Ran, Chang Xu, Lei Ma and Feifei Xue
Effective prediction of wind power output intervals can capture the trend of uncertain wind output power in the form of probability, which not only can avoid the impact of randomness and volatility on grid security, but also can provide supportable infor...
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Szymon Hoffman
Combustion of energy fuels or organic waste is associated with the emission of harmful gases and aerosols into the atmosphere, which strongly affects air quality. Air quality monitoring devices are unreliable and measurement gaps appear quite often. Miss...
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Ching-Yu Yang and Ja-Ling Wu
During medical treatment, personal privacy is involved and must be protected. Healthcare institutions have to keep medical images or health information secret unless they have permission from the data owner to disclose them. Reversible data hiding (RDH) ...
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Reda El Bechari, Stéphane Brisset, Stéphane Clénet, Frédéric Guyomarch and Jean Claude Mipo
Metamodels proved to be a very efficient strategy for optimizing expensive black-box models, e.g., Finite Element simulation for electromagnetic devices. It enables the reduction of the computational burden for optimization purposes. However, the convent...
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Xingkui Xu, Chunfeng Wu, Qingyu Hou and Zhigang Fan
As an important angle sensor of the opto-electric platform, gyro output accuracy plays a vital role in the stabilization and track accuracy of the whole system. It is known that the generally used fixed-bandwidth filters, single neural network models, or...
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Xingkui Xu, Chunfeng Wu, Qingyu Hou and Zhigang Fan
As an important angle sensor of the opto-electric platform, gyro output accuracy plays a vital role in the stabilization and track accuracy of the whole system. It is known that the generally used fixed-bandwidth filters, single neural network models, or...
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Qiang Zhao, Kunkun Bao, Jia Wang, Yinghua Han and Jinkuan Wang
Condition monitoring can improve the reliability of wind turbines, which can effectively reduce operation and maintenance costs. The temperature prediction model of wind turbine gearbox components is of great significance for monitoring the operation sta...
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Yongqiang Liu, Shixi Yang and Xuekun Liu
The appearance of damage on metallic structures is inevitable due to complex working environments. Non-destructive testing (NDT) of these structures is critical to the safe operation of the equipment. This paper presents a non-destructive damage detectio...
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Yongqiang Liu, Shixi Yang and Xuekun Liu
The appearance of damage on metallic structures is inevitable due to complex working environments. Non-destructive testing (NDT) of these structures is critical to the safe operation of the equipment. This paper presents a non-destructive damage detectio...
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Shengjin Tang, Chuanqiang Yu, Xue Wang, Xiaosong Guo and Xiaosheng Si
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