With the increasing proportion of wind energy in the energy structure, the high-precision prediction model has become an indispensable link. An ultra-short-term wind speed forecasting model based on WD-ARIMAX-GARCH is...
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ISBN:
(数字)9781728150307
ISBN:
(纸本)9781728150314
With the increasing proportion of wind energy in the energy structure, the high-precision prediction model has become an indispensable link. An ultra-short-term wind speed forecasting model based on WD-ARIMAX-GARCH is proposed. For some time series, they are often influenced by external factors, and the ARIMA model is only a regression of historical time series, which cannot reflect the influence of external factors. In order to obtain exogenous variables, the wind speed time series is decomposed into several subsequences by introducing wavelet decomposition, and the ARIMA-GARCH model is established for each subsequence. The predicted result is recombined as an exogenous variable and the decomposed data, and an ARIMAX model is established for the new time series. The WD-ARIMAX-GARCH model experiment results show that the prediction accuracy is high.
At present, artificial visual diagnosis of fundus diseases has low manual reading efficiency and strong subjectivity, which easily causes false and missed detections. Automatic segmentation of retinal blood vessels in...
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ISBN:
(纸本)9781728146188
At present, artificial visual diagnosis of fundus diseases has low manual reading efficiency and strong subjectivity, which easily causes false and missed detections. Automatic segmentation of retinal blood vessels in fundus images is very effective for early diagnosis of diseases such as the hypertension and diabetes. In this paper, we utilize the U-shaped structure to exploit the local features of the retinal vessels and perform retinal vessel segmentation in an end-to-end manner. Inspired by the recently DropBlock, we propose a new method called Structured Dropout U-Net (SD-Unet), which abandons the traditional dropout for convolutional layers, and applies the structured dropout to regularize U-Net. Compared to the state-of-the-art methods, we demonstrate the superior performance of the proposed approach.
In this paper, an in-depth study about the consensus problem of mixed-order multi-agent system with directed topology is performed. Specifically, this system is composed of two classes of agents respectively described...
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The high resolution earth observation satellite has developed rapidly, and the earth observation system has been developed from single-star mode to many small and medium satellites joint network. Full earth observatio...
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The high resolution earth observation satellite has developed rapidly, and the earth observation system has been developed from single-star mode to many small and medium satellites joint network. Full earth observation in twenty-four hours under all kinds of climate all around the earth has been realized. However, due to the limited bandwidth and energy resources, these data are not appropriate to be completely downloaded, and on-orbit image processing and data mining techniques are required. On one hand, redundant or invalid data can be removed to save limited bandwidth and energy, on the other hand, the on-orbit images are effectively processed in real time, and the intelligence and emergency response capabilities of earth observation system are enhanced. First, a high-performance computing architecture is established, and a high-performance computing platform based on Xilinx Zynq7000 series SoC chip and Nvidia Jetson TX2 series chip is designed to accomplish the on-orbit high-performance image processing with single point computing capacity of 2TFLOPS, storage capacity of 16Tb. Secondly, the image semantic segmentation on the TX2 hardware platform is realized by using the compressed lightweight deep neural network, and the classification of remote sensing image is achieved with accuracy 87% and 1 image per second prediction speed;On the basis of semantic segmentation, the semantic information of forest coverage and the number of houses is extracted. Finally, the image data retrieval technology is used to effectively organize and manage the images, complete the reception and response after receiving the ground commands, and transmit the effective data information to the ground in time. The verification system is further built to verify the rationality, availability and real-time aspects of the image data modeling and data mining platform, which lays the foundation for the future establishment and improvement of earth observation system. The systematic method propo
With the rapid development of data analysis technology, the implementation of smart grid construction, the mass installation and use of smart sensing devices, the combination of data analysis technology and smart grid...
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With the rapid development of data analysis technology, the implementation of smart grid construction, the mass installation and use of smart sensing devices, the combination of data analysis technology and smart grid is an inevitable trend. The power data will bring great benefits to power companies. Among them, the topology estimation of distribution network is the cornerstone of smart grid data analysis technology. This paper firstly introduces the voltage deviation analysis of the users on the distribution network, and uses the relationship to conduct a series of topology analysis of the distribution network, such as topology verification, phase identification and topology estimation. The data used in this paper is the actual electricity data of a city, and the result of topology verification is validated through actual investigation.
In this study, consensus problem for general high-order multi-agent systems with communication delay is investigated. Given the unstable agent dynamics and a known communication delay, two consensus protocols are desi...
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In this study, consensus problem for general high-order multi-agent systems with communication delay is investigated. Given the unstable agent dynamics and a known communication delay, two consensus protocols are designed to guarantee consensus over undirected network. By jointly researching the effects of agent dynamics and network topology, allowable delay bounds depending on the maxima of concave functions are easy to calculate. Especially, the maximum delay bound is derived when the network topology is completely connected. The main approach for the same involves designing the control gains on the basis of the solution of a parametric algebraic Riccati equation. Finally, the theoretical results are demonstrated via numerical simulations.
Robust and efficient AUV path planning is a key element for persistence AUV maneuvering in variable underwater environments. To develop such a path planning system, in this study, differential evolution(DE) algorithm ...
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Robust and efficient AUV path planning is a key element for persistence AUV maneuvering in variable underwater environments. To develop such a path planning system, in this study, differential evolution(DE) algorithm is employed. The performance of the DE-based planner in generating time-efficient paths to direct the AUV from its initial conditions to the target of interest is investigated within a complexed 3D underwater environment incorporated with turbulent current vector fields, coastal area,islands, and static/dynamic obstacles. The results of simulations indicate the inherent efficiency of the DE-based path planner as it is capable of extracting feasible areas of a real map to determine the allowed spaces for the vehicle deployment while coping undesired current disturbances, exploiting desirable currents, and avoiding collision boundaries in directing the vehicle to its destination. The results are implementable for a realistic scenario and on-board real AUV as the DE planner satisfies all vehicular and environmental constraints while minimizing the travel time/distance, in a computationally efficient manner.
This paper is concerned with the design of polynomial observers for positive polynomial interval systems. In order to design the polynomial observer a solution based on Sum Of Squares (SOS) programming is provided. Th...
This paper is concerned with the design of polynomial observers for positive polynomial interval systems. In order to design the polynomial observer a solution based on Sum Of Squares (SOS) programming is provided. The design conditions are presented in terms of SOS, which can be numerically and symbolically solved via SOSTOOLS and a Semi-Definite Program (SDP) solver. Finally, numerical examples are given to show the feasibility of the proposed approaches.
This paper addresses the consensus of a class of nonlinear fractional-order multi-agent systems (FOMAS) with positive real uncertainty. First a fractional non-fragile dynamic output feedback controller is put forward ...
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The stabilization of Rotary Inverted Pendulum based on Lyapunov stability theorem is investigated in this *** key of designing controls by Lyapunov method is the construction of Lyapunov function.A logarithmic functio...
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ISBN:
(纸本)9781509046584
The stabilization of Rotary Inverted Pendulum based on Lyapunov stability theorem is investigated in this *** key of designing controls by Lyapunov method is the construction of Lyapunov function.A logarithmic function is constructed as the Lyapunov function and is compared with the usual quadratic function *** comparative results show that the constructed logarithmic function has higher numerical accuracy and convergence speed than the usual quadratic *** this basis,the control of stabilizing rotary inverted pendulum is designed based on the constructed logarithmic function by Lyapunov *** effectiveness of the designed control is verified by experiments,and is compared with the control designed based on quadratic function.
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