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检索条件"任意字段=6th International Conference on Electrical Engineering, Computing Science and Automation Control"

共 6011 条记录，以下是361-370 订阅

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Second-order Nested Terminal Sliding Mode for Current control of Permanent Magnet Synchronous Machine 6

Second-order Nested Terminal Sliding Mode for Current Contro...

引用

6th IEEE international electrical and Energy conference, CIEEC 2023

作者： Dongye, Yalan Xie, Zhen Yang, Shuying Zhang, Xing School of Electrical Engineering and Automation Hefei University of Technology Hefei China

ISBN: (纸本)9798350346671

Sliding mode for current control of the permanent magnet synchronous machine has the merit of high robustness to parameter mismatch. However, the actual control accuracy is subjected to the effect of the sliding mode chattering. the nonsingular terminal sliding mode (NTSM) control can effectively reduce chattering, but its parameters are difficult to be selected and the convergence rate is slow. To this aim, a second-order nested terminal sliding mode (SNTSM) strategy is proposed to improve the control performance of the stator currents. the integral fast terminal sliding mode is nested in the NTSM surface. through the SNTSM control design, the chattering is sustained well in theory, and the fast convergence of current without steady-state error is realized. At last, some experiments are made to verify the current control strategy and its merits is highlighted through comparative study. © 2023 IEEE.

关键词： Electric current control

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Application of Logic control and Predictive PID control in Smart Grid Dispatching and Decision Making 6

Application of Logic Control and Predictive PID Control in S...

引用

6th international conference on Internet of things, automation and Artificial Intelligence, IoTAAI 2024

作者： Ou, Zhixin Anhui Communications Vocational & Technical College Department of Urban Rail Transit and Information Engineering Anhui Hefei230051 China

ISBN: (纸本)9798350386974

the smart grid dispatching and decision-making system has the characteristics of smart power detection, data cloud storage, and information fusion. the disadvantage is that the difficulty of model estimation is high, significant fluctuations in energy storage and transmission, algorithm update iteration delay, and low accuracy of data fusion technology. First, models and algorithms for smart grids, improve the multiple domain value delay problem of output stability. Second, the nine-point logic control strategy is based on partitioning deviation and deviation variation based on pan Boolean dispatching, effectively solving the frequency and band amplitude issues of power grid transmission load fluctuations. When the integral variable or input signals change, compared with traditional PID control, it is concluded that, just adjusting according to the nine-point logic control strategy, can obtain ideal control and output results. Finally, establishing a simulation model, the results indicate that its control curve performs well in model matching, satisfactory dispatching in case of model mismatch, and ensures that the fluctuation amplitude and error accuracy meet the requirements. the control strategy has the characteristics of a fast output response, high stability and robustness, and a small overshoot for changing power grid models. © 2024 IEEE.

关键词： Data fusion

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Fully Distributed Adaptive Dynamic Event- Triggered Protocol for Multiagent Systems 6

Fully Distributed Adaptive Dynamic Event- Triggered Protocol...

引用

6th international conference on Electronic engineering and Informatics, EEI 2024

作者： Gurmu, Meseret Debele Hu, Wenfeng School of Automation Central South University Changsha China

ISBN: (纸本)9798350353594

this paper investigates the distributed adaptive dynamic event-based consensus problem for a class of linear multiagent systems (MASs) affected by time-varying multiplicative faults. A distributed adaptive dynamic event-triggered control is designed to realize that asymptotic consensus can be achieved in the presence of actuation faults while excluding the Zeno behavior. A novel adaptive dynamic event-triggering mechanism (ADETM) is introduced to regulate the intermittent communication between neighboring agents. the adaptive techniques are introduced to determine the estimated value of the unknown actuator fault and the coupling weight. the new event-triggering function incorporates internal dynamic variables and adaptive parameters to adjust event-triggering conditions, reducing the frequency of triggering events and conserving communication resources. the nature of the proposed protocol is that it is fully distributed, which means the controller operates without requiring global communication graph information. Local state estimation is utilized in the event-triggered protocol, eliminating the need for continuous communication in control law updates and event detection. Finally, a simulation example is provided to demonstrate the effectiveness of the theoretical results. © 2024 IEEE.

关键词： Adaptive control systems

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Rolling Bearing Fault Diagnosis Based on Parameter-Optimized ICEEMDAN and IPOA-SVM 6

Rolling Bearing Fault Diagnosis Based on Parameter-Optimized...

引用

6th IEEE international conference on automation, Electronics and electrical engineering, AUTEEE 2023

作者： He, Fei Shen, Xiangyun Liaoning Technical University College of Electrical and Control Engineering Huludao China

ISBN: (纸本)9798350305623

Aiming at the problem of low accuracy of traditional rolling bearing fault diagnosis, a fault diagnosis model of parameter optimization Improved Adaptive Noise Complete Ensemble Empirical Mode Decomposition (ICEEMDAN) and Improved Pelican Optimization Algorithm (IPOA) optimized Support Vector Machine (SVM) was proposed. We employ the optimized ICEEMDAN method, along with Multiscale Fuzzy Entropy (MFE) and Linear Discriminant Analysis (LDA) for modal decomposition and feature extraction of the original bearing vibration signals. To enhance the accuracy and convergence speed of the algorithm, we introduce Tent chaotic mapping, Levy flights, and differential variation perturbation factors into the basic Pelican Optimization Algorithm. Furthermore, the improved Pelican Optimization Algorithm is utilized to optimize the penalty parameter (c) and kernel function (g) of SVM, thus enhancing the fault diagnosis accuracy of the SVM algorithm. Experimental results on a public dataset demonstrate that the proposed method achieves an overall recognition rate of 99% for fault diagnosis of rolling bearings under 10 operating conditions. © 2023 IEEE.

关键词： Fault diagnosis Feature extraction Machine learning Optimization algorithm Rolling bearing

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Unmasking Hypertension through a Fusion of Human Lifestyle Data using Machine Learning Algorithms 6

Unmasking Hypertension Through a Fusion of Human Lifestyle D...

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Vishnu Priya, V. Nisanth, G. Nivethaa, R.P. Vijay, Srinidhi Department of Computer Science and Engineering Kongu Engineering College Erode Perundurai India Department of Computer Applications Kongu Engineering College Erode Perundurai India Department of Computer Technology UG Kongu Engineering College Erode Perundurai India

ISBN: (纸本)9798331522667

Hypertension, also referred to as high blood pressure, is a condition arising from the consistently high blood pressure against artery walls. the volume and output of blood from the heart primarily control blood pressure under stiff or tight arterial conditions. High pulse pressure leads to increased blood pressure, since the pumping of more blood makes the arteries inactive. the World Health Organization has a comprehensive guideline in which an evidence-based pharmacological approach has been recommended for managing adult patients with hypertension, not neglecting to mention lifestyle modification in order to support medicinal treatment. Machine learning may revolutionize the way hypertension treatment is projected for the management of personalized treatment routines for patients based on their characteristics. ML provides great promise in seeking ideal medication and predicting responses thereof against massive sets of data for hypertensive patients. the techniques allow for the determination of the individual risk for hypertension and ensure that treatment protocols are optimal. Compared to methods used to predict hypertension in the past, ML algorithms show a marked improvement in performance. © 2025 IEEE.

关键词： Personalized medicine

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YOLOv8 lightweight target detection algorithm for warehousing environment 6

YOLOv8 lightweight target detection algorithm for warehousin...

引用

6th IEEE Advanced Information Management, Communicates, Electronic and automation control conference, IMCEC 2024

作者： Qin, Xuebin Yuan, Qinghe Yang, En Yang, Dan Huo, Jingtao Xi'an University of Science and Technology College of Electrical and Control Engineering Xi'an China

ISBN: (纸本)9798350316520

Aiming at the problems of complex calculation and difficult deployment of target detection algorithm in storage environment, such as cargo accumulation, small target missing detection and false detection, a lightweight target detection algorithm based on YOLOv8 (DBR-YOLOv8) is proposed. Firstly, Bi-Level Routing Attention (BRA) is introduced to improve the attention to key features and improve the computational efficiency. Secondly, the original PANet feature fusion framework is replaced by a bidirectional feature pyramid network (BiFPN) to strengthen the information integration between different scale features and enhance the multi-scale processing ability of the model. Finally, the Dilation-wise Residual ( DWR ) is added to the C2f module to improve the detection accuracy of small targets and reduce the number of network floating points and the amount of calculation. the experimental outcomes demonstrate that the DBR-YOLOv8 achieves an mAP@0.5 of 87.8% and an mAP@0.5:0.95 of 70.7%. these figures represent a notable enhancement over the original YOLOv8n model, with an increase of 1.4% in mAP. Furthermore, the model exhibits a significant reduction in computational complexity, as evidenced by a 13.6% decrease in FLOPs, along with a substantial reduction in model parameters and weights by 26.7% and 27.4%. © 2024 IEEE.

关键词： Computational efficiency

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A Robust control Technique for Pitch control of an Aeropendulum 6

A Robust Control Technique for Pitch Control of an Aeropendu...

引用

6th international conference on Robotics, control and automation engineering, RCAE 2023

作者： Tanveer, M. Hassan Koduru, Charles Roy, Rupam Gupta Lakhekar, Girish V. Chun, Cary Kennesaw State University Department of Robotics and Mechatronics Engineering MariettaGA30067 United States National Institute of Technology Department of Electronics and Instrumentation Engineering Agartala Barjala Jirania Tripura Agartala India College of Engineering Department of Instrumentation Engineering Maharashtra Pune India

ISBN: (纸本)9798350315301

Pitch control of an aviation system presents a plethora of control complications, such as nonlinear effects, parameter uncertainties, disturbances, etc. In the face of parametric uncertainties and disturbances, as well as communication limits in an auditory medium, it is difficult to create efficient control algorithms that can accomplish precise path-following tasks and effective resilient control actions. this paper presents the Second Order Sliding Mode control method for regulating the pitch angle in an aero-pendulum mechatronic system. the fundamental purpose of this study is to develop a reliable controller capable of minimising the system error between the regulated signal and the planned signal that corresponds to the pitch angle of the vehicle. By employing the proposed approach, both the prevalence of chattering and the control efficiency can be greatly improved. A comparison is given between the proposed model and the classical technique now in use, such as the classical Sliding Mode controller. © 2023 IEEE.

关键词： Sliding mode control

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AF-KNN: A Machine Learning-based Algorithm for Automatic Recognition of Logistics Numbering Images 6

AF-KNN: A Machine Learning-based Algorithm for Automatic Rec...

引用

6th IEEE international conference on automation, Electronics and electrical engineering, AUTEEE 2023

作者： Yang, Lanqi Wang, Jianjun Chen, Ao Ma, Wenjia University of Chinese Academy of Sciences Institute of Cyberspace Security Beijing China China United Network Communications Co. Ltd. Heilongjiang Branch Harbin China Donghua University College of Information Science and Technology Shanghai China Tiangong University School of Electronics & Information Engineering Tianjin China

ISBN: (纸本)9798350305623

With the development of IoT intelligence and automation, the demand for efficient and accurate recognition of logistics numbering image processing is increasing. In response to the high computational complexity of IoT environments and the need for higher efficiency, precision, and real-time recognition, this paper proposes an adaptive ensemble algorithm called Adaptive Fusion-KNN, based on KNN. AF-KNN integrates two weak classifiers based on KNN and utilizes machine learning methods to adaptively train these weak classification models. It dynamically adjusts its own weight in the voting process based on the error rate from the previous round of training, thereby ensuring more reliable label prediction results from the strong classifier. the introduction of this algorithm provides a theoretical basis for efficient, accurate, and automated classification of data in IoT application scenarios. © 2023 IEEE.

关键词： automatic recognition of images IoT KNN logistics number machine learning

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Space-time Broadband Beamforming Based on Constraint Matrix Reconstruction and Blocking Matrix Preprocessing 6

Space-time Broadband Beamforming Based on Constraint Matrix ...

引用

6th IEEE international conference on automation, Electronics and electrical engineering, AUTEEE 2023

作者： Jiang, Siqin Luo, Jie Xue, Cong Wang, Yumeng Zhang, Shurui Sheng, Weixing Nanjing University of Science and Technology School of Electronic and Optical Engineering Nanjing China

ISBN: (纸本)9798350305623

Under the conditions of main lobe interference, the adaptive broadband beamforming suffers from problems such as mainbeam deformation and increased side lobe. this paper proposes two adaptive beamforming approaches to overcome this issue: one based on frequency domain constraint matrix reconstruction, and the other based on blocking matrix preprocessing (BMP). the first algorithm build new constraints of interference when constructing the frequency domain constraint matrix, while the second algorithm uses a blocking matrix to preprocess the received signal. then, both algorithms perform adaptive beamforming. Broadband main lobe interference can be effectively suppressed by both algorithms, and the side lobe level does not rise. the efficiency of the proposed approaches can be confirmed by the simulation results. © 2023 IEEE.

关键词： Adaptive broadband beamforming Blocking matrix preprocessing Frequency domain constraint matrix Main lobe interference

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A Two-Stage Robust Short-Term Optimal Scheduling Method for Security Constrained Multi-Source Collaborate Power System 6

A Two-Stage Robust Short-Term Optimal Scheduling Method for ...

引用

6th international conference on Energy Systems and electrical Power, ICESEP 2024

作者： Mo, Dong Li, Qiuwen Zhuo, Yixin Zhang, Zhi Zhao, Ziqi Chen, Shifei Yang, Linfeng Guangxi Power Grid Co. Ltd Electrical Power Dispatch Control Center Nanning China School of Electrical Engineering Guangxi University Nanning China

ISBN: (纸本)9798350353563

With the depletion of fossil energy and the increase in environmental problems, renewable energy sources such as wind and solar energy has developed rapidly. We have established a scheduling model of multi-source collaborative power system that includes renewable energy, pumped-storage power stations, thermal units, nuclear power units, and battery energy storage stations. To address the randomness, volatility, and unpredictability of renewable energy, we developed a two-stage robust optimization model, which is solved using an improved column-and-constraint generation (ICCG) algorithm. the effectiveness of the proposed method is verified through a modified example. © 2024 IEEE.

关键词： Clean energy

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