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2024 IEEE International Conference on control Science and Systems Engineering, ICCSSE 2024

作者： He, Longlong Xu, Tianze Wu, Yue Gao, Jiani Wang, Yafei Pan, Ruiyu Xi'an University of Science and Technology Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Detection and Control Xi'an China

ISBN: (纸本)9798331517199

As a vital energy source, coal mines are essential to the energy industry. However, the process of fully mechanized coal mining is notoriously harsh, which poses significant challenges to efficient and safe operations. In this context, hydraulic support operators play a crucial role in ensuring the stability and safety of the working face, where potential safety issues from operator errors or external interferences necessitate the adoption of smart mining practices. To address these challenges, this paper proposes a framework for a distributed hydraulic support control system based on a multi-agent system (MAS). First, by constructing this distributed multi-agent system within fully mechanized mining, the interactive relationship among hydraulic supports has been systematically delineated. Second, game theory is employed to inform decision-making regarding hydraulic support behaviors, enhancing both the autonomy and cooperation of the supports. Finally, the proposed model is analyzed and validated by maximizing the utility function, aiming to improve the efficiency and intelligence of fully mechanized mining operations. This comprehensive approach aims to ensure safer and more efficient coal mining practices through advanced technology integration and strategic decision-making. © 2024 IEEE.

关键词： Coal mines

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Maximum ladle shell temperature prediction based on GABP neural network

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International Journal of Wireless and Mobile Computing 2023年第2期24卷 120-126页

作者： Sun, Ying Huang, Peng Tao, Bo Yun, Juntong Zhao, Guojun Liu, Xin Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Wuhan430081 China Research Center for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Wuhan430081 China

intelligent manufacturing is the main development trend of today's manufacturing industry, and talents are the first resource. Through the analysis of the current situation of cultivating talents in mechanical engineering in colleges and universities, it is found that most students of this major have difficulty in involving in knowledge of other fields outside their specialties, and their knowledge structure is relatively single. In response to the above problems, this paper proposes the training mode of multidisciplinary cross-integration of talents in mechanical engineering, which is analysed through the study of maximum temperature prediction of steel ladle shell. The BP neural network based on the improved genetic algorithm is trained on the experimental data samples to achieve the maximum temperature prediction of ladle shell under different thickness combinations of insulation layer, safety layer and working layer. By learning the knowledge of target prediction, students' overall development is promoted. © 2023 Inderscience Enterprises Ltd.

关键词： Forecasting

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User-side Abnormal Power Consumption Detection Method Based on High-dimensional Random Matrix 25

User-side Abnormal Power Consumption Detection Method Based ...

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25th IEEE China Conference on System Simulation technology and its Application, CCSSTA 2024

作者： Gao, Jiaming Kong, Xiangyu Zhang, Delong Xu, Xihao Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China

ISBN: (纸本)9798350366600

To accurately grasp the abnormal electricity usage behavior of users on the distribution network side, the application of user electricity risk hazard identification feature extraction and recognition technology is used to achieve a sense of security in electricity usage and a strategy for intelligent, digital user electricity risk early warning push services is proposed. The collected power grid operation data is analysed and modeled based on the random matrix theory. By characterizing the statistical properties of the matrix, the power consumption information is visualized, and a method for identifying abnormal power consumption and meter faults is proposed. This method analyses the fluctuation characteristics of the eigenvalues and gives the specific steps for applying the random matrix theory to the location of abnormal areas of user power consumption. It can also realize the feature discovery of abnormal power consumption points on the user side and then determine abnormal power consumption behavior. The case study shows that this method is highly reliable and accurate. © 2024 IEEE.

关键词： Eigenvalues and eigenfunctions

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intelligent Mould Design Through Knowledge-Based Recommendation System 1

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6th International Conference on Mechanical Engineering and Applied Composite Materials, MEACM 2023

作者： Qin, Hao Guangdong Key Laboratory of Modern Control Technology Institute of Intelligent Manufacturing Guangdong Academic of Sciences Guangzhou510070 China

ISBN: (数字)9789819716784

ISBN: (纸本)9789819716777

The efficiency and quality of a complex aluminium extrusion mould design can be largely improved based on reusing the relevant design knowledge recommended based on design context. This kind of design knowledge is embedded in engineering designers’ brain, supporting design tasks like requirement analysis, embodiment design, simulation result evaluation, which is significant in achieving intelligent design. However, it is a kind of tacit knowledge that is difficult to capture and reuse, in a way of intelligent recommendation. To fill this gap, this paper proposed a method on capturing this kind of tacit design knowledge for efficient reuse. Firstly, a knowledge representation model is built in terms of the requirement, function, behaviour, structure, and design evolution of the extrusion mould design, guiding the capture and representation of design knowledge. Then, the design context for the design knowledge is studied and constructed for the effective reuse of design knowledge. Finally, a recommendation system based on design context is designed and developed for the implementation of design reuse. The evaluation results on this method have shown its feasibility and effectiveness on design knowledge representation and reuse. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Knowledge representation

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Adaptive optimal output regulation: A parametric Lyapunov equation approach 5

Adaptive optimal output regulation: A parametric Lyapunov eq...

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5th International Conference on control, Robotics, and intelligent System, CCRIS 2024

作者： ul Aabidin Lodhi, Zain Jiang, Huaiyuan Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Harbin China

ISBN: (数字)9781510685871

ISBN: (纸本)9781510685864

This article delves into a data-driven approach for solving the adaptive optimal output regulation problem in continuous-time linear systems with uncertain dynamics. Employing a class of parametric Lyapunov equations in conjunction with a nominal system model, the initial stabilizing feedback gain is determined to initiate the iterative method. Then, by utilizing a policy-iteration-based technique, we design an optimal control policy to achieve precise output tracking and disturbance rejection. The prescribed convergence characteristics of the closed-loop system directly result from the properties embedded within the solution of the parametric Lyapunov equation. The applicability and performance of the proposed method are demonstrated through a numerical example involving an input-constrained double integrator system. © 2024 SPIE.

关键词： Continuous time systems

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A Digital Twin Framework for Transient Stability Assessment Based on Knowledge Distillation 9

A Digital Twin Framework for Transient Stability Assessment ...

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9th Asia Conference on Power and Electrical Engineering, ACPEE 2024

作者： Cui, Junjie Qin, Wenping Zhu, Zhilong Lu, Ruipeng Qin, Penghui Li, Xianzhen Taiyuan University of Technology Key Laboratory of Cleaner Intelligent Control on Coal & Electricity Ministry of Education Shanxi Key Laboratory of Power System Operation Control College of Electrical and Power Engineering Taiyuan China

ISBN: (纸本)9798350309638

In the context of the digital transformation of power systems, various new sensors are capable of acquiring massive real-time data from the power grid, providing an opportunity for the development of digital twins in power systems. This paper proposes a transient stability assessment digital twin framework based on knowledge distillation. Addressing the challenges of high computational resource consumption and model deployment difficulties associated with existing high-precision complex models in transient stability assessment, the knowledge distillation method is introduced for model lightweighting. Simultaneously, the proposed continuous learning online updating strategy enables adaptive online updates for complex operating conditions and structures, enhancing the learning capability for online additions of diverse samples. Using Transformer as the transient stability assessment model, the effectiveness of the proposed approach was validated on the IEEE 39-bus system. © 2024 IEEE.

关键词： Distillation

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SAE-BiLSTM-Attention for PEMFC Fault Diagnosis 25

SAE-BiLSTM-Attention for PEMFC Fault Diagnosis

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25th IEEE China Conference on System Simulation technology and its Application, CCSSTA 2024

作者： Zhang, Ziye Wang, Jichen Xu, Liang Meng, Xiangang Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China

ISBN: (纸本)9798350366600

To solve the challenge of fault diagnosis in proton exchange membrane fuel cells (PEMFC), this paper proposes a fault diagnosis framework. It integrates sparse self-encoder (SAE) and Bi-directional long and short-term memory network (BiLSTM) with attention. The framework is designed to diagnose two primary types of faults: flooding and membrane dehydration in the PEMFC system. The 14-dimensional original features of the PEMFC test system are firstly downscaled using SAE to obtain a 7-dimensional feature representation;then the downscaled features are inputted into the BiLSTM-Attention fault diagnosis model for fault identification of the PEMFC. Experiments on the real test dataset show that the proposed SAE-BiLSTM-Attention model achieves an overall classification accuracy of 99.2%, which is better than that of the models using BiLSTM or BiLSTM-Attention, and verifies the effectiveness of the framework in PEMFC fault diagnosis. © 2024 IEEE.

关键词： Fault detection

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Cross-user Gesture Recognition Based on Deep Domain Adaptation Networks 43

Cross-user Gesture Recognition Based on Deep Domain Adaptati...

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43rd Chinese control Conference, CCC 2024

作者： Fu, Zhongzheng He, Xinrun Wang, Haoyuan Chen, Xingjian Li, Yixuan Huang, Jian Huazhong University of Science and Technology Ministry of Education Key Laboratory of Image Processing and Intelligent Control Hubei Key Laboratory of Brain-inspired Intelligent Systems School of Artificial Intelligence and Automation Wuhan430074 China

ISBN: (纸本)9789887581581

This study introduces an innovative approach for gesture recognition in smart wearable devices using a deep domain adaptation model, focusing on the challenges posed by heterogeneous user environments and the need for precise, adaptable, and personalized gesture recognition systems. Traditional methods based on machine learning and deep learning techniques, while effective, struggle with the variance in data distribution among different users, leading to accuracy challenges. To address this, the study proposes the Domain Kernel-Alignment Adaptation Network (DKAN) model, utilizing a new Kernel-Aligned Multi-kernel Maximum Mean Discrepancy (KAMMD) method within deep networks. By calculating kernel alignments between source and target domains and adjusting weights of Gaussian kernels accordingly, DKAN emphasizes features conducive to transfer learning, enabling more accurate cross-user gesture recognition. The model achieves a significant average accuracy of 97.3% across 21 gestures, highlighting its potential in practical applications. This advancement addresses challenges in traditional gesture recognition methods and sets a new direction for future research in smart wearable technology. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Adversarial machine learning

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A platform for integrated spectrometers based on solution-processable semiconductors

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Light(Science & Applications) 2023年第9期12卷 1739-1748页

作者： Yanhao Li Xiong Jiang Yimu Chen Yuhan Wang Yunkai Wu De Yu Kaiyang Wang Sai Bai Shumin Xiao Qinghai Song Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic SystemsHarbin Institute of Technology(Shenzhen)ShenzhenGuangdong 518055China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengduSichuan 611731China Collaborative Innovation Center of Extreme Optics Shanxi UniversityTaiyuanShan`xi 030006China

Acquiring real-time spectral information in point-of-care diagnosis,internet-of-thing,and other lab-on-chip applications require spectrometers with hetero-integration capability and miniaturized *** to conventional semiconductors integrated by heteroepitaxy,solution-processable semiconductors provide a much-flexible integration platform due to their solution-processability,and,therefore,more suitable for the multi-material integrated ***,solution-processable semiconductors are usually incompatible with the micro-fabrication *** work proposes a facile and universal platform to fabricate integrated spectrometers with semiconductor substitutability by unprecedently involving the conjugated mode of the bound states in the continuum(conjugated-BIC)***,exploiting the conjugated-BIC photonics,which remains unexplored in conventional lasing studies,renders the broadband photodiodes with ultra-narrowband detection ability,detection wavelength tunability,and on-chip integration ability while ensuring the device *** based on these ultra-narrowband photodiode arrays exhibit high spectral resolution and wide/tunable spectral *** fabrication processes are compatible with solution-processable semiconductors photodiodes like perovskites and quantum dots,which can be potentially extended to conventional *** from the spectrometers directly constitute the incident spectra without being computation-intensive,latency-sensitive,and *** an example,the integrated spectrometers based on perovskite photodiodes are capable of realizing narrowband/broadband light reconstruction and in-situ hyperspectral imaging.

关键词： semiconductors process integration

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Broadband high-efficiency dielectric metalenses based on quasi-continuous nanostrips

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Opto-Electronic Advances 2024年第5期7卷 43-51页

作者： Xiaohu Zhang Qinmiao Chen Dongliang Tang Kaifeng Liu Haimo Zhang Lintong Shi Mengyao He Yongcai Guo Shumin Xiao Key Laboratory of optoelectronic Technology and Systems of the Education Ministry of China Chongqing UniversityChongqing 400044China Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic SystemsHarbin Institute of TechnologyShenzhen 518055China Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education&Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices School of Physics and ElectronicsHunan UniversityChangsha 410082China

Benefiting from the abrupt phase changes within subwavelength thicknesses,metasurfaces have been widely applied for lightweight and compact optical *** broadband and high-efficiency characteristics are highly attractive for the practical implementation of ***,current metasurface devices mostly adopt discrete micro/nano structures,which rarely realize both merits *** this paper,dielectric metasurfaces composed of quasi-continuous nanostrips are proposed to overcome this *** quasi-continuous nanostrips metasurface,a normal focusing metalens and a superoscillatory lens overcoming the diffraction limit are designed and experimentally *** quasi-continuous metadevices can operate in a broadband wavelength ranging from 450 nm to 1000nm and keep a high power *** average efficiency of the fabricated metalens reaches 54.24%,showing a significant improvement compared to the previously reported metalenses with the same *** proposed methodology can be easily extended to design other metadevices with the advantages of broadband and high-efficiency in practical optical systems.

关键词： broadband high-efficiency metalens sub-diffraction quasi-continuous

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