检索结果-内蒙古大学图书馆

17th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2024

作者： Han, Chunxiao Zhang, Jingyan Jia, Yuyu Che, Yanqiu Tianjin Key Laboratory of Information Sensing & Intelligent Control China School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin 300222 China

ISBN: (纸本)9798331507398

Brain-controlled system has been used in assisting disabilities, and how to enable such groups to have the ability to communicate with the surroundings has become the focus of research. However, due to the individual differences and the dynamic time-varying brain states, the fixed time window used in the traditional Filter Bank Canonical Correlation Analysis (FBCCA) algorithm for Steady-State Visual Evoked Potential-based Brain-Computer Interface (SSVEP-BCI) is not optimal, which limits its generalizability. Therefore, in this paper, based on the SSVEP experimental paradigm, we propose an improved FBCCA algorithm with dynamic window based on the difference level between correlation coefficients. Compared with the traditional FBCCA algorithm, the accuracy is significantly improved. Furthermore, this paper designs a BCI-based robotic arm control system, achieving real-time and precise object grasping. This validates the feasibility and effectiveness of the proposed algorithm. Our findings may provide a theoretical basis and technical support for the practical application of BCI. © 2024 IEEE.

关键词： Robotic arms

来源：评论

学校读者我要写书评

暂无评论

MHDO-MAGE based Performance Optimization Strategy for Steam Generator Level control System ofNuclear Power Plant

MHDO-MAGE based Performance Optimization Strategy for Steam ...

引用

2024 China automation Congress, CAC 2024

作者： Shi, Jinguang Kong, Xiangsong Li, Xiaoyu Yang, Zean Chen, Weiming School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China

ISBN: (纸本)9798350368604

The steam generator level control system is one of the critical control systems in a nuclear power plant, and its performance is vital for the safe and stable operation of the plant. The control parameters are key factors that affect the operational performance of the steam generator level control system. Therefore, during the commissioning of the nuclear power plant, it is usually necessary to adjust the parameters through the trial-and-error method. This tuning process mainly relies on the experience of the commissioning personnel and may potentially compromise plant safety due to human errors. Considering that the parameter tuning process of control systems can be regarded as a special type of batch processes, this paper proposes to apply an efficient data-driven optimization method, multi-source hybrid data-driven optimization method based on model accuracy gradient estimation (MHDO-MAGE), to the problem of parameter tuning for the steam generator control system. This method effectively combines the advantages of traditional MBO (Model-Based Optimization) and MFO (Model-Free Optimization) methods, while efficiently utilizing prior data information related to the optimization problem. This method was implemented on a widely adopted steam generator control system model specifically designed for steam generator simulations. The simulation results clearly indicate that the MHDO-MAGE method significantly enhances the efficiency of parameter tuning for the steam generator level control system, ultimately leading to a reduction in the costs associated with nuclear power plant commissioning. © 2024 IEEE.

关键词： Nuclear power plants

来源：评论

学校读者我要写书评

暂无评论

SAR image data enhancement based on IF-SinConGAN 4

SAR image data enhancement based on IF-SinConGAN

引用

4th International Conference on Advanced Algorithms and Neural Networks, AANN 2024

作者： Mu, Ruizhe Qin, Yingmei Han, Chunxiao Che, Yanqiu Tianjin Key Laboratory of Information Sensing & Intelligent Control China School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin300222 China

ISBN: (纸本)9781510686106

In order to solve the problem of insufficient samples of near-shore synthetic aperture radar data in ship detection, a ship synthetic aperture radar (SAR) image data augmentation model based on generative adversarial network was designed in this ***, this study combines image fusion and data enhancement to design an Image Fusion Concurrent-Single-Image-GAN model (IF-SinConGAN).This model first fuses offshore ship images with nearshore scenes, employing a dual-threshold sea-land segmentation method to seamlessly integrate offshore ships into nearshore water regions. These fused images are then used as input for training the ConSinGAN model. Compared to the original model, IF-SinConGAN significantly improves both the diversity and quality of generated SAR images. © 2024 SPIE.

关键词： Synthetic aperture radar

来源：评论

学校读者我要写书评

暂无评论

CAPACITY ALLOCATION METHOD OF BATTERY ENERGY STORAGE SYSTEM CONSIDERING MULTI-SERVICE TARGET LEVEL ASSESSMENT

引用

International Journal of electrical engineering 2022年第5期29卷 141-153页

作者： Ma, Suliang Wu, Yiwen Jiang, Yuan Li, Yaxin Li, Jianlin School of Electrical and Control Engineering North China University of Technology Shijingshan District Beijing China Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical Engineering University of Science and Technology Beijing Haidian District Beijing China

Rational planning of battery energy storage system is the key technology to solve the problem of high proportion of new energy consumption and the requirements of high performance power supply. Starting from the multiple application dimensions of power supply, power grid, load and battery energy storage system, this paper proposes a method of battery energy storage system capacity allocation based on multi-objective comprehensive evaluation. Firstly, the capacity configuration model of battery energy storage system is established from two aspects of service objectives and operation constraints;Then, under the two-level optimization framework, the capacity allocation scheme of the battery energy storage system is formed by using particle swarm optimization and multi- attribute decision-making methods;Finally, the configuration results of IEEE33 nodes with high proportion of distributed new energy access are analyzed, and the influence of model parameters and target orientation on the capacity of battery energy storage system is discussed. The simulation results show that the proposed method can flexibly and effectively configure the battery energy storage system, complete multiple different target service requirements, and promote the scientific application of the battery energy storage system. © 2022, Chinese Institute of electrical engineering. All rights reserved.

关键词： Battery storage

来源：评论

学校读者我要写书评

暂无评论

A Three-Dimensional Force Estimation Method for the Cable-Driven Soft Robot Based on Monocular Images

A Three-Dimensional Force Estimation Method for the Cable-Dr...

引用

2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Zhu, Xiaohan Bu, Ran Li, Zhen Xu, Fan Wang, Hesheng School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Department of Automation China Artificial Intelligence Research Institute School of Information and Control Engineering China University of Mining and Technology China

ISBN: (纸本)9781665481090

Soft manipulators are known for their superiority in coping with high-safety-demanding interaction tasks, e.g., robot-assisted surgeries, elderly caring, etc. Yet the challenges residing in real-time contact feedback have hindered further applications in precise manipulation. This paper proposes an end-to-end network to estimate the 3D contact force of the soft robot, with the aim of enhancing its capabilities in interactive tasks. The presented method features directly utilizing monocular images fused with multidimensional actuation information as the network inputs. This approach simplifies the preprocessing of raw data compared to related studies that utilize 3D shape information for network inputs, consequently reducing configuration reconstruction errors. The unified feature representation module is devised to elevate low-dimensional features from the system's actuation signals to the same level as image features, facilitating smoother integration of multimodal information. The proposed method has been experimentally validated in the soft robot testbed, achieving satisfying accuracy in 3D force estimation (with a mean relative error of 0.84% compared to the best-reported result of 2.2% in the related works). © 2024 IEEE.

关键词： Robotic surgery

来源：评论

学校读者我要写书评

暂无评论

Privacy-Preserving Average Consensus Algorithm Under Round-Robin Scheduling Protocol

引用

IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1705-1707页

作者： Yingjiang Guo Wenying Xu Haodong Wang Jianquan Lu Shengli Du the School of Mathematics Southeast UniversityNanjing 21189China the School of Electronic Information and Electrical Engineering Chengdu UniversityChengdu 610106Chengdu 610106China the School of Artificial Intelligence and Automation Beijing University of TechnologyBeijing 100124 the Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of EducationBeijing 100124China

Dear Editor,Over the past decades,cooperative control and distributed optimization have gained significant research attention due to their broad applications such as signal processing,robotics,and social networks[1],[2].As a fundamental component of distributed control and optimization,the issue of average consensus has become a recurring topic of interest[3],[4].

关键词： optimization Round Robin

来源：评论

学校读者我要写书评

暂无评论

Quality-Relevant Modeling and Monitoring of Industrial Cyber-Physical Systems: The Semi-Supervised Dynamic Latent Variable Models

IEEE Transactions on Industrial Cyber-Physical Systems

引用

IEEE Transactions on Industrial Cyber-Physical Systems 2025年 3卷 39-47页

作者： Zhou, Le Wang, Yaoxin Wu, Yuanqing He, Shenghuang Song, Zhihuan Zhejiang University of Science and Technology Department of Automation and Electrical Engineering Hangzhou310023 China Guangdong University of Technology Department of Automation Guangzhou510006 China Dongguan University of Technology Department of Computer Science and Technology Dongguan523808 China Ningbo Industrial Internet Institute Ningbo315012 China Zhejiang University Department of Control Science and Engineering Hangzhou310027 China

In modern industrial cyber-physical systems, a mass of process variables has been obtained by the high-sampling online sensors. Meanwhile, the key quality indexes are usually obtained infrequently from the laboratory. Hence, these quality variables are with low sampling rate. To avail of the complete process and quality variables with various sampling rates in the dynamic processes, a set of semi-supervised dynamic latent variable models are proposed for dynamic modeling and quality-relevant monitoring. The proposed models have built a unified structure to consider both the auto-correlations and cross-correlations between the process and quality variables with unbalanced sampling sizes. Hence, the feature extraction of the time series data is dynamically adjusted under the guidance of the quality variables. Then, the quality-relevant monitoring schemes are proposed, which is validated by a numerical case and an actual wastewater treatment process. © 2024 IEEE. All rights reserved.

关键词： Indexes Probabilistic logic Kalman filters Noise Cyber-physical systems Analytical models Parameter estimation Time series analysis Process monitoring Numerical models

来源：评论

学校读者我要写书评

暂无评论

Dynamic Quantized control of Fuzzy Semi-Markov Jump Systems With Fading Channels: An Improved Event-Triggered Mechanism

引用

IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3519-3531页

作者： Hu, Meng-Jie Park, Ju H. Cheng, Jun Wang, Yan-Wu China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China Yeungnam University Department of Electrical Engineering Gyeongsan38541 Korea Republic of Guangxi Normal University School of Mathematics and Statistics Guilin541006 China Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China

This article focuses on the dynamic quantized control for Takagi-Sugeno fuzzy semi-Markov jump systems (T-S FSMJSs) under fading channels and deception attacks, employing an improved event-triggered mechanism (ETM) strategy. Specifically, a more generalized semi-Markov process (SMP) that is governed by a higher-level deterministic switching signal (HLDSS) is addressed. A novel dynamic ETM is skillfully developed based on the information of quantization and two internal dynamic adjusting variables to further enhance the network bandwidth utilization. The dual asynchronous phenomenon between the plant and controller (asynchronous modes and mismatched premise variables) is addressed. This implies that the designed controller is not required to share the same membership functions and modes as the plant, establishing a more rational structure. The hidden semi-Markov model (HSMM) is attained to characterize the stochastic varying channel fading amplitudes. The Lyapunov function incorporating mode and fuzzy information is constructed to establish sufficient criteria ensuring the strictly dissipative performance and mean-square exponential stability (MSES) of the resulting closed-loop systems, and a new security fuzzy dual asynchronous controller is then developed. Finally, the efficacy and applicability of the results are demonstrated through numerical and practical examples. © 2025 IEEE.

关键词： Membership functions

来源：评论

学校读者我要写书评

暂无评论

Performance Evaluation of Axial-Flux Machine with Water-Cooling and Fractional-Slot Distributed-Winding 11

Performance Evaluation of Axial-Flux Machine with Water-Cool...

引用

11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia

作者： Chen, Qixu Li, Guoli Qian, Zhe Sun, Zehui Wang, Qunjing Anhui University School of Electrical Engineering and Automation Hefei China Anhui University National Engineering Laboratory of Energy-Saving Motor and Control Technology Hefei China

ISBN: (纸本)9788957083505

The reduction of space harmonic in winding magnetic motive force (MMF) is important for axial-flux permanent magnet synchronous machine (AFPMSM). For the 12-slot/10-pole winding and 24-slot/10-pole winding, comparative analysis of winding MMF is finished with winding function method(WFM). Analysis results show that fractional-slot distributed-winding (FSDW) have much lower total harmonic distortion (THD) than that of fractional-slot concentrated-winding (FSCW). It is beneficial to reduce eddy-current loss in PMs. An AFPMSM prototype with a 24-slot/10-pole combination is manufactured and tested at no-load condition. No-load back-EMF wave is measured at 1000rpm and 3000rpm. Theory and experiment prove that AFPMSM with FSDW layout has a better balance between THD of winding MMF and THD of no-load back-EMF. © 2023 The Korean Institute of Power Electronics.

关键词： Permanent magnets

来源：评论

学校读者我要写书评

暂无评论

Study on Inertia-Resistant Disturbance Speed control of Permanent Magnet Synchronous Motor Based on Exponential Integral Time-Varying Sliding Mode 2nd

Study on Inertia-Resistant Disturbance Speed Control of Perm...

引用

Conference Proceedings of 2022 2nd International Joint Conference on Energy, electrical and Power engineering

作者： Ni, Shilin Xie, Fang Wang, Houying School of Electrical Engineering and Automation Anhui University Hefei China National Engineering Laboratory of Energy-Saving Motor & Control Technology Anhui University Hefei China

ISBN: (纸本)9789819943333

To enhance the dynamic performance of speed control when the moment of inertia changes during the operation of permanent magnet synchronous motor (PMSM), this paper investigates an anti-inertia disturbance method based on exponential integral time-varying sliding mode control (EITSMC). First, the paper analyzes the relationship between moment of inertia and motor speed using the mathematical analytical model of PMSM. Secondly, to track the change of the inertia moment immediately, the model reference adaptive system (MRAS) is applied to estimate the inertia change online and improve its tracking accuracy. Thirdly, To solve the issues of unstable motor speed under the sudden change of inertia, the sliding mode control method of exponential integration time variable is proposed, and the introduction of this method can not only better enhance the stability of motor speed, but also improve the fast performance of motor speed. Then, the identifiable moment of inertia is refreshed in real time to the exponentially integrated time-varying SMC, which realizes the adaptive speed control of the PMSM and satisfies the dynamic speed performance of the motor when the inertia changes. Eventually, the feasibility and effectiveness of the proposed method are verified by experiments. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Speed control

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：