In this paper,a distributed finite-time anti-disturbance secondary voltage regulation problem is investigated for islanded alternating-current(AC) microgrids with unmeasurable states and *** combining the integral-typ...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
In this paper,a distributed finite-time anti-disturbance secondary voltage regulation problem is investigated for islanded alternating-current(AC) microgrids with unmeasurable states and *** combining the integral-type nonsingular terminal sliding-mode control and finite-time extended-state observer technique together,distributed finite-time anti-disturbance secondary voltage regulation protocols are *** order to estimate the unmeasurable states and disturbances,some finite-time extended-state observers are constructed at ***,according to the estimates of disturbances and unmeasurable states,some integral-type nonsingular terminal sliding-mode surfaces are designed for the ***,secondary voltage regulation protocols are proposed based on the *** the islanded AC microgrid system,these protocols achieve the output voltage consensus in finite *** demonstrate the effectiveness of the proposed secondary voltage regulation protocols.
Electronic nose (e-nose) can carry out odor fingerprinting and identification, exhibiting several advantages such as speed, low cost and portability. The e-nose technology allows objective, accurate and real-time dete...
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In recent years, forest fires often result in significant environmental and economic losses, spurred researchers to investigate early forest fire detection methods. Embedded devices with the object detection task can ...
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Small object detection in the cigarette detection field is a recent popular task. As cigarette targets in surveillance are tiny, the object scale leads to a great challenge of object detection. To solve the issue ment...
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In this paper, a nonsmooth observer considering friction compensation is proposed for the sensorless permanent magnet synchronous motor (PMSM) to estimate the rotor position and speed. Friction is one of the main fact...
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As autonomous mobile robots are increasingly deployed in complex environments, traditional vision sensors and LiDAR encounter considerable limitations, particularly in detecting obstacles in blind spots or transparent...
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作者:
Du, TaoYang, JieWen, Chao-KaiXia, ShuqiangJin, ShiSoutheast University
National Mobile Communications Research Laboratory Nanjing210096 China Southeast University
Key Laboratory Of Measurement And Control Of Complex Systems Of Engineering Ministry Of Education The Frontiers Science Center For Mobile Information Communication And Security Nanjing210096 China Institute Of Communications Engineering
National Sun Yat-sen University Kaohsiung80424 Taiwan Zte Corporation
The State Key Laboratory Of Mobile Network And Mobile Multimedia Technology Shenzhen518055 China Southeast University
National Mobile Communications Research Laboratory The Frontiers Science Center For Mobile Information Communication And Security Nanjing210096 China
Utilizing high-resolution antenna arrays and wide bandwidth of the millimeter-wave (mmWave) spectrum in 5G new radio (NR) mmWave communication systems holds the potential for high-throughput data transmission while en...
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Computer-aided diagnosis has emerged as a crucial trend in modern medicine. Recently, CT-based automatic detection algorithms for lung infectious diseases suffer from issues of low accuracy and complex architecture. I...
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Rail surface defect inspection is an essential task for the railway system. However, due to the similarity of the background and defect foreground pixels, uneven textures, irregular shapes and multiple scales of the e...
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ISBN:
(数字)9798331510138
ISBN:
(纸本)9798331510145
Rail surface defect inspection is an essential task for the railway system. However, due to the similarity of the background and defect foreground pixels, uneven textures, irregular shapes and multiple scales of the existing defects, the inspection accuracy is still required to be further improved. In this paper, we first expand our dataset by GAN-based method for the scarcity of the defect samples. Then, we propose a diffusion-based model to perform the classification and segmentation task. The diffusion model predicts the mask from the Gaussian noise broken ground truth by successive designed transformer decoder. Meanwhile, to better distinguish the pixels in the boundary or other illegible regions, a boundary-frequency feature enhancement module (BFM) is proposed to make the model pay more attention to the defect-related features. Experiments on the rail surface defect dataset revealed that the proposed diffusion-based transformer decoder and BFM can work well together and efficiently improve the rail surface defect segmentation accuracy.
In renewable energy grids, solar irradiance prediction is significant for electric operation planning. The emphasis of our work is forecasting irradiance changes over multiple days ahead using hourly irradiance data i...
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ISBN:
(数字)9798350387780
ISBN:
(纸本)9798350387797
In renewable energy grids, solar irradiance prediction is significant for electric operation planning. The emphasis of our work is forecasting irradiance changes over multiple days ahead using hourly irradiance data in association with weather parameters such as temperature, humidity, barometric pressure, wind speed, and cloud cover. Specifically, a framework based on TimesNet was proposed for 4-day global horizontal irradiance (GHI) forecasting and a comparative experiment was conduct with three well-performing models in long-term forecasting tasks. The experimental results indicate that the suggested method outperformed the accuracy when compared to other models, with MSE 0.198, MAE 0.259, RMSE 0.445 and R
2
0.787.
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