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CPSS Transactions on Power Electronics and Applications 2024年第4期9卷 395-404页

作者： Zhiyong Qiu Kaining Fu Wei Chen School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China College of Electrical Engineering and Automation Fuzhou University Fuzhou China

High-permeability cores, such as ferrite, can increase power transfer efficiency and are often designed to be gapped to mitigate magnetic saturation. The fringing effect caused by the air-gap increases the winding loss of the gapped inductor. The key to accurately evaluating its winding loss is extracting that from the total loss. This paper introduces a method for measuring the winding loss of gapped inductors based on magnetic field equivalence. The gapless inductor with the winding for equivalent air-gap was constructed to characterize the magnetic field within the core window of the gapped inductor, and the auxiliary winding was used to replace the winding of the gapped inductor to generate the equivalent magnetizing magnetomotive force. Based on the transformer winding short-circuit method with the small-signal impedance test, the winding loss was separated from the core loss. After the resistance of auxiliary winding was measured by using an air-core inductor, the winding loss of the gapped inductor was consequently obtained. The proposed scheme was applied to inductors made of different sizes and structures, and the measured errors were within 20% in the range of 100 kHz to 1 MHz. The winding loss had a steeper growth tendency in this range than the lower frequency, so the proposed method is effective at high switching frequencies especially.

关键词： Windings Inductors Loss measurement Magnetic flux Magnetic field measurement Air gaps Magnetic separation

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Improvement of GCC Congestion control Algorithm in Streaming Media Transmission 41

Improvement of GCC Congestion Control Algorithm in Streaming...

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第41届中国控制会议

作者： Minghui He Yan Yuan Kang Li Han Peng School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

With the advent of the 5 G era,people have more and more needs for streaming media and real-time interactive applications with low delay and high bandwidth,while the transmission technology based on TCP is far from meeting the needs of real-time *** paper studies the mainstream congestion control algorithm GCC in the field of real-time communication,as well as analyzes its overall structure,basic workflow and the calculation of key *** view of the problem that the rate controller based on packet loss in GCC algorithm will reduce the transmission rate in the case of noise packet loss,GCC-BDP algorithm is improved and proposed.

关键词： Streaming media transmission Congestion control GCC-BDP

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Finite-time stabilization for high-order nonholonomic systems with full state constraints 41

Finite-time stabilization for high-order nonholonomic system...

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第41届中国控制会议

作者： Liangguang Li Shiqi Zheng Jiachun Sun Tao Song Qing Chang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper studies the finite-time control problem for a class of high-order nonholonomic systems.A new smooth coupling controller is proposed to make the system states converge to zero in *** order to ensure the states constraints of the nonholonomic systems,a new adding a barrier power integrator technique is *** barrier function is integrated into the traditional adding a power integrator ***,the proposed controller is singular-free and can produce smooth control ***,simulations verify the obtained results.

关键词： Finite time nonholonomic system mobile robots constraints

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A Co-regularization Facial Emotion Recognition Based on Multi-Task Facial Action Unit Recognition 41

A Co-regularization Facial Emotion Recognition Based on Mult...

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第41届中国控制会议

作者： Chinonso Paschal Udeh Luefeng Chen Sheng Du Min Li Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Facial emotion recognition helps feed the growth of the future artificial intelligence with the development of emotion recognition,learning,and analysis of different angles of a human face and head *** worlds recent pandemic gave rise to the rapid installment of facial recognition for fewer applications,while emotion recognition is still within the experimental *** current challenges encountered with facial emotion recognition(FER) are the difference between background *** todays world shows us that humans soon need robotics in the most significant role of human perception,attention,memory,decision-making,and human-robot interaction(HRI) needs *** merging the head pose as a combination towards the FER to boost the robustness in understanding emotions using the convolutional neural networks(CNN).The stochastic gradient descent with a comprehensive model is adopted by applying multi-task learning capable of implicit parallelism,inherent and better global optimizer in finding better network *** executing a multi-task learning model using two independent datasets,the experiment with the FER and head pose learning multi-views co-regularization frameworks were subsequently merged with validation accuracy.

关键词： head pose facial expression convolution neural network deep learning emotion recognition

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Research on Electricity Price Sensitivity of Smart Park Facing Source and Load Uncertainty 41

Research on Electricity Price Sensitivity of Smart Park Faci...

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第41届中国控制会议

作者： Jie Cai Zhijian Fang Wenhe Peng Zihan Zhang Junwen He School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Due to the uncertainty of photovoltaic power generation and the disorder of large-scale electric vehicle charging,new challenges have been brought to the security and stability of the smart park distribution network,hybrid storage plays a significant role in smoothing power *** the goal of maximizing the annual earnings of energy storage,this paper proposes a real-time electricity price model based on the electricity price sensitivity of the tie line power fluctuation *** is verified by numerical example simulation,and the results show that,the model plays a very good role in smoothing power fluctuations and improving the economic benefits of energy storage.

关键词： Smart park hybrid energy storage real-time electricity price electricity price sensitivity

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Modeling and Simulation of Mixed Traffic Flow Considering Autonomous Vehicles and the Impact of Trucks 24

Modeling and Simulation of Mixed Traffic Flow Considering Au...

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4th Asia-Pacific Artificial Intelligence and Big Data Forum, AIBDF 2024

作者： Kuang, Xianyan Zhang, Zuliang Jiangxi Province Key Laboratory of Multidimensional Intelligent Perception and Control Jiangxi University of Science and Technology Jiangxi Ganzhou China School of Electrical Engineering and Automation Jiangxi University of Science and Technology Jiangxi Ganzhou China

ISBN: (纸本)9798400710865

Heavy trucks play a crucial role in shaping highway traffic dynamics. Their slower speed and unique acceleration and deceleration patterns can greatly influence the efficiency and stability of mixed traffic streams. This study explores a traffic scenario involving both heavy trucks and Connected and Autonomous Vehicles (CAVs), presenting an innovative model for mixed traffic flow and establishing specific lane-changing protocols for autonomous vehicles. Utilizing numerical simulations and comparative analyses, the research explores how heavy trucks affect traffic speed and lane-changing dynamics across different levels of CAV integration and varying traffic conditions. The findings of the study indicate that with lower rates of CAV penetration, increased traffic flow heightens the frequency of vehicle interactions, resulting in more pronounced variations in traffic speed. Conversely, when CAV penetration rates are elevated, there is a marked improvement in average traffic speed, alongside a significant reduction in speed fluctuations, particularly in high-density traffic situations. © 2024 Copyright held by the owner/author(s).

关键词： Automobiles

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An Improved Exponential Stability Criterion of Generalized Neural Networks With Intermittent Large-Delay Periods 41

An Improved Exponential Stability Criterion of Generalized N...

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第41届中国控制会议

作者： Jin-Meng Xu Yong He Wen-Hu Chen Zhe-Li Yuan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper focuses on the exponential stability analysis of generalized neural networks(GNNs) with time-varying delays,where the time delays include several intermittent large-delay periods(LDPs).First,the improved piecewise augmented Lyapunov-Krasovskii functional(LKF) candidate is constructed based on the delay-dependent state ***,some advanced inequalities are adopted to estimate the derivative of LKF *** with switching techniques,an exponential stability criterion with less conservativeness is *** last,a numerical example is used to verify the advantage of the proposed criterion.

关键词： Time-varying delay Switched delay system Large-delay period Exponential stability

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Image Semantic Segmentation Scheme based on XGBoost combination with Convolution Feature Extraction 41

Image Semantic Segmentation Scheme based on XGBoost combinat...

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第41届中国控制会议

作者： Zichen Dai Xuewen Liu Chi Xu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Aiming at the problem that the existing image semantic segmentation schemes based on convolutional neural network require a large number of training data sets and high training cost,this paper presents a novel scheme for image semantic segmentation based on extreme gradient boosting(XGBoost),a scalable tree boosting system and the combination of convolution feature extraction(CFE).The scheme consists of three ***,convolution operation is performed on a small amount of RGB pixel information of the image processed by Gaussian filtering to acquire more multi-dimensional image feature ***,some preprocessing techniques of image feature information,including feature normalization and image label pixel number uniformity are performed to match the ***,the preprocessed image feature information and corresponding labels are input into XGBoost to train and predict the data of the test *** simulation and practical tests,compared with other commonly used few data classification algorithms like k-Nearest-Neighbor(kNN) and Support-VectorMachine(SVM),this scheme can achieve high precision pixel-level image semantic segmentation under the condition of lower training cost.

关键词： Image Semantic Segmentation Convolutional Feature Extraction XGBoost Gaussian Filtering Low Training Cost

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Research on Virtual USB Storage in Remote File Transfer 41

Research on Virtual USB Storage in Remote File Transfer

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第41届中国控制会议

作者： Jie Li Weihua Cao Zhicheng Zhao Han Peng School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Virtual USB storage technology is an application technology that integrates Universal Serial Bus(USB) virtualization,file system virtualization and reliable file data transfer,which is often applied to virtual file transfer in data *** the current traditional virtual USB storage technology relies on specific software and poor system compatibility,this paper proposes a hardware-based virtual USB storage solution that uses the built-in USB driver of each operating system to map the local USB storage device to the remote controlled server to achieve file reading and *** show that the scheme proposed in this paper has the advantages of simple implementation,good system compatibility,safe and stable *** technology has been successfully applied to the data room management of an enterprise.

关键词： USB storage virtualization file transfer remote mapping

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Stability Analysis for Delayed Neural Networks via a Relaxed Negative-Determination Quadratic Function Method 41

Stability Analysis for Delayed Neural Networks via a Relaxed...

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第41届中国控制会议

作者： Yu-Long Fan Ke-You Xie Xing-Chen Shangguan Hongzhang Wang Chuan-Ke Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper presents an improved stability condition for neural networks with a time-varying ***,an improved Lyapunov-Krasovskii functional(LKF) is constructed by introducing the delay-product term and the augmented ***,a less conservative delay-dependent stability criterion for neural networks with a time-varying delay is established by utilizing the generalized reciprocally convex combination and a relaxed quadratic function ***,a numerical example is used to illustrate the merit and effectiveness of the proposed stability criterion.

关键词： Neural Networks Time-varying Delay Stability Analysis Reciprocally Convex Matrix Inequality NegativeDetermination Method

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