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Chinese control and Decision Conference, CCDC

作者： Weiyang Sun Jinming Xu The State Key Laboratory of Industrial Control Technology The College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

In this paper, we address the reconstruction problem of both state network and input network for heterogeneous networked dynamical systems (NDSs). Different from most existing works, we aim to identify networks of heterogeneous NDSs without assuming any prior knowledge of external input matrices. We first establish a sufficient condition for network reconstruction in noise-free scenarios leveraging an appropriately constructed matrix equation of which parameter matrices are constructed using external inputs and external outputs of heterogeneous NDSs. We develop an identification approach that allows us to accurately reconstruct the state and input networks simultaneously once the matrix equation permits a unique solution, which can be ensured by proper rank conditions. The proposed approach demonstrates its effectiveness in network reconstruction even in the presence of process noise. Finally, we numerically verify the efficacy of the proposed method under both noiseless and noisy conditions.

关键词： Knowledge engineering Sufficient conditions Noise Reconstruction algorithms Noise measurement Dynamical systems

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Transport characteristics and dispersion evolution of CO-NOx mixture exhaust for shuttle movement emission in short-wall continuous mining face

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Environmental science and Pollution Research 2024年第51期31卷 61191-61209页

作者： Zhou, Gang Liu, Yongwei Yang, Yang Luan, Guoliang Xu, Zhuo Sun, Biao College of Safety and Environmental Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Mining Disaster Prevention and Control Co-Founded By Shandong Province and the Ministry of Science and Technology Shandong University of Science and Technology Qingdao266590 China Department of Safety Engineering College of Safety and Environmental Engineering Shandong University of Science and Technology 579 Qianwangang Road Huangdao District Shandong Province Qingdao City266590 China

To investigate the evolution of CO and NOx pollution in the exhaust gas from diesel-powered shuttles under the double lane ventilation system of short-walled continuous mining face, this article uses a combination of numerical simulation and field tests to numerically simulate and analyze the pollution transport law of CO and NOx emitted from the shuttles at three locations: heading tunnel, contact alley and supporting tunnel. The results show that when the shuttle car in heading tunnel, the CO and NOx discharged from the shuttle discharge port move toward the exit of the tunnel at an average speed of 1.25 m/s. The high CO and NOx concentration area appears at the discharge port, with the highest CO volume fraction of 82.5 ppm and the highest NOx volume fraction of 28.25 ppm. When the shuttle car at the contact alley, by the two walls of the alleyway on the gas diffusion space extrusion effect, CO and NOx in X = 37.5 m ~ 42.5 m range gathered, appear high CO and NOx concentration band. When the shuttle car in supporting tunnel, it is hindered by the belt conveyor within the range of X = 63 m ~ 64.5 m, so CO and NOx fail to spread to the outlet of the roadway in time and pile up at the bottom of the roadway. The highest CO volume fraction is 76.25 ppm and the highest NOx volume fraction is 28.28 *** to the different positions of the car, the pollution areas of CO and NOx exceeding the specified threshold (24 ppm, 2.5 ppm) were divided, and the distribution characteristics of CO and NOx pollution were obtained by quantitative analysis through curve fitting, which provided a theoretical basis for the prevention and control of harmful substances emitted by fuel power equipment in underground environment. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Belt conveyors

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Improved Residual Reinforcement Learning for Dynamic Obstacle Avoidance of Robotic Arm

Improved Residual Reinforcement Learning for Dynamic Obstacl...

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Data Driven control and Learning Systems (DDCLS)

作者： Zhenting Liu Shan Liu State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

This paper proposes an improved residual deep reinforcement learning method for robot arm dynamic obstacle avoidance and position servo. The proposed method first simplifies the state space by constructing key points and pre-trains a model capable of completing obstacle avoidance tasks using the simplified state. Then, when training with real state information, a guiding network is used to help accumulate good samples, which improves the training efficiency. To overcome the convergence difficulty of residual DQN in robot arm obstacle avoidance, this paper incorporates the action of the feedback controller into the action space and uses incremental reward values to evaluate the actions. Simulation results demonstrate that the proposed method can effectively achieve robot arm dynamic obstacle avoidance and position servo.

关键词： Training Learning systems Simulation Aerospace electronics Manipulators Deep reinforcement learning Collision avoidance

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Topology Reconstruction of Heterogeneous Networked Dynamical Systems with Unknown Input Matrices

Topology Reconstruction of Heterogeneous Networked Dynamical...

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American control Conference (ACC)

作者： Weiyang Sun Jinming Xu Jiming Chen State Key Laboratory of Industrial Control Technology and the College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

We consider the topology reconstruction problem of heterogeneous networked dynamical systems (HNDSs) with unknown input matrices. In particular, we aim to reconstruct a heterogeneous network comprising a state interaction network (SIN) and an external input network (EIN), which differs from most existing works where the EIN network is assumed to be known a priori when reconstructing the SIN network. To this end, we employ subspace analysis to establish necessary-and-sufficient conditions for ensuring the solvability of the topology reconstruction problem of heterogeneous networks. Moreover, we develop a sufficient condition based on coupled matrix equations (CMEs), which allows us to exactly reconstruct both the SIN and EIN networks of the HNDS system when the CMEs permit a unique solution. A numerical example is provided to verify the effectiveness of the proposed method.

关键词： Sufficient conditions Accuracy Network topology Heterogeneous networks Topology Noise measurement Dynamical systems

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Identification of Mixed Organic Pollutants in River Water Based on Graph Convolutional Networks

Identification of Mixed Organic Pollutants in River Water Ba...

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Chinese Automation Congress (CAC)

作者： Shuai Cao Jie Yu Xingyu Fan Qiuhao Zhang Fangjia Xue Dibo Hou State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

In the application of three-dimensional (3-D) fluorescence spectroscopy for river water pollutant detection, traditional feature extraction models often neglect wavelength information and complex intermolecular interrelationships. Moreover, experiments are frequently limited to single-substance classifications. This research addresses these limitations by proposing a novel model for organic pollutant recognition based on graph neural networks (GNNs). The proposed method begins by using the excitation-emission matrix and the wavelength information corresponding to each fluorescence intensity value as inputs. A convolutional neural network (CNN) is initially employed to extract preliminary features from the three-dimensional fluorescence spectra. Subsequently, the initial spectral features obtained during the pre-training stage are used to construct a graph neural network model. This model represents each category of organic pollutants as nodes within the graph, capturing the intrinsic connections between different pollution samples through node interactions. Finally, the model outputs a score vector for each category to classify the pollutants. To validate the proposed model, datasets comprising twelve common organic pollutants, both as single substances and mixtures, were collected. Comparative analysis with other methods demonstrates that the proposed approach achieves a high accuracy rate.

关键词： Volatile organic compounds Accuracy Water quality Fluorescence Feature extraction Water pollution Vectors Rivers Monitoring Active matrix organic light emitting diodes

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Strain engineering of Pt-based electrocatalysts for oxygen reaction reduction

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Frontiers in Energy 2024年第2期18卷 241-262页

作者： Zeyu WANG Yanru LIU Shun CHEN Yun ZHENG Xiaogang FU Yan ZHANG Wanglei WANG State Key Laboratory of Solidification Processing Atomic Control and Catalysis Engineering LaboratorySchool of Materials Science and EngineeringNorthwestern Polytechnical UniversityXi’an 710072China State Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration National Clinical Research Center for Oral DiseasesShaanxi Key Laboratory of StomatologyDepartment of Dental MaterialsSchool of StomatologyThe Fourth Military Medical UniversityXi’an 710032China Institute of New Energy Materials and Engineering School of Materials Science and EngineeringFuzhou UniversityFuzhou 350108China Key Laboratory of Marine Chemistry Theory and Technology(Ministry of Education) College of Chemistry and Chemical EngineeringOcean University of ChinaQingdao 266100China

Proton exchange membrane fuel cells(PEMFCs)are playing irreplaceable roles in the construction of the future sustainable energy ***,the insufficient performance of platinum(Pt)-based electrocatalysts for oxygen reduction reaction(ORR)hinders the overall efficiency of *** the surface strain of catalysts is considered an effective way to tune their electronic structures and therefore optimize catalytic *** this paper,insights into strain engineering for improving Pt-based catalysts toward ORR are elaborated in ***,recent advances in understanding the strain effects on ORR catalysts are comprehensively ***,strain engineering methodologies for adjusting Ptbased catalysts are comprehensively ***,further information on the various challenges and potential prospects for strain modulation of Pt-based catalysts is provided.

关键词： strain engineering Pt-based catalysts oxygen reduction reaction(ORR) catalytic performance proton exchange membrane fuel cells(PEMFCs)

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FeCoP sub-nanometric-sheets for electrocatalzing overall water splitting

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Nano Research Energy 2024年第4期3卷 68-76页

作者： Long Zhao Kexin Meng Yibo Guo Qingsheng Wu Quanjing Zhu Tao Zhou Yongqing Fu Ming Wen School of Chemical Science and Engineering School of Environmental Science and EngineeringShanghai Key Laboratory of Chemical Assessment and SustainabilityState Key Laboratory of Pollution Control and Resource ReuseTongji UniversityShanghai 200092China College of Bioengineering East China University of Science and TechnologyShanghai 200237China Faculty of Engineering and Environment Northumbria UniversityNewcastle upon Tyne NE99UK

Renewable electrical energy for electrolysis water can achieve green industrial chains for hydrogen ***,finding efficient electrocatalysts remains a challenge for green ***,sub-nanometric FeCoP nanosheets with average thickness of 0.9 nm is constructed through 2D self-assembly driven by cavitation effect of ultrasonics and following *** from abundant active sites,enhanced H_(2)O molecular adsorption kinetics,and highly enhanced structural stability,the subcrystalline FeCoP shows excellent electrocatalytic activities of hydrogen evolution reaction(HER)and oxygen evolution reactions(OER).Ultralow overpotential of 37 mV is achieved at 10 mA·cm^(-2) for *** the FeCoP catalyst was used as both cathode and anode for overall water splitting using renewable electrical energy,green hydrogen produced is directly applied for hydrogen fuel cell to drive fan for more than 10 *** calculation indicates that subcrystalline FeCoP more easily adsorbs H_(2)O than crystalline one and thus speeds up the kinetics of Volmer step in HER process.

关键词： green hydrogen energy subcrystalline overall water splitting sub-nanometric-sheets

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Development of a Compact Optical Layout for a Miniature Fluorescence Spectrometer: In-Situ Detection of Organic Pollutants in Aquatic Environment

Development of a Compact Optical Layout for a Miniature Fluo...

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Chinese Automation Congress (CAC)

作者： Xingyu Fan Jie Yu Qiuhao Zhang Shuai Cao Lingke Zhang Fangjia Xue State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

In recent years, the increasing presence of emerging organic pollutants in rivers, lakes, and other aquatic environments has posed significant threats to human health and ecological safety. Current monitoring technologies for these pollutants face several challenges, including the high cost of equipment and the scarcity of trained professionals. Furthermore, existing portable fluorescence sensors are limited by inadequate data, unsuitability for in-situ water environments, and the ability to detect only specific pollutants. This paper proposes a novel design for an in-situ miniature fluorescence spectrometer, utilizing a compact optical layout to monitor organic pollutants in water. The design features a high-power UV LED combined with a lens group to enhance the fluorescence excitation effect of low-concentration organic pollutants. The system components are integrated into a compact layout centered around a flow cell, significantly reducing the device's size. In experimental validation, vitamin B was used as a model organic pollutant to test the prototype's detection capabilities. Within the concentration range of 1 − 100 μg/L, the fluorescence intensity exhibited a strong linear correlation with the vitamin B concentration, achieving an R 2 value of 0.9945, comparable to that of commercial spectrometers. This portable device demonstrates excellent performance in detecting organic matter and offers significant advantages for in-situ monitoring applications, making it well-suited for real-time pollutant detection in rivers, lakes, and other aquatic environments.

关键词： Performance evaluation Optical design Layout Prototypes Fluorescence Light emitting diodes Water pollution Rivers Optical sensors Monitoring

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Tomographic Object Detection by Unsupervised Clustering

Tomographic Object Detection by Unsupervised Clustering

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Computer, Vision and Intelligent technology (ICCVIT), International Conference on

作者： Fengyuan Wang Zheng Wang Yimin Wu Yandan Jiang Haifeng Ji Baoliang Wang State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9798331540043

ISBN: (纸本)9798331540050

This work introduces clustering to electrical tomography (ET) and first compares the effectiveness of different unsupervised clustering categories in tomographic object detection. First, the one-step linear back projection (LBP) algorithm is applied to reconstruct a rough image. Then, clustering is introduced to detect and refine the objects in the image, and a higher-quality image is obtained based on the clustering results. Six unsupervised clustering algorithms belonging to different categories, including K-means, Mini Batch K-means, Agglomerative, density peak clustering (DPC), statistical information grid (STING), gaussian mixture model (GMM), are compared from the aspects of clustering evaluation index, reconstruction quality and reconstruction efficiency. Simulation was carried out based on a capacitively coupled electrical resistance tomography (CCERT) system to collect the projection data under the cases of one to three objects to be detected in the sensing region. The research results show that the quality of object detection and reconstruction can be effectively improved by post-processing the image with clustering. It is found that for the single-object distribution, the grid-based clustering algorithm STING provides images with the highest quality. While for the multi-objects distributions (two or three objects), the Agglomerative algorithm belonging to the hierarchy clustering category shows advantage in achieving good images. Concerning the real-time performance, Agglomerative clustering algorithm is also preferred with less computational time than most of the other clustering algorithms. Therefore, among the combinations investigated in this work, LBP + Agglomerative clustering has the overall best performance in topographic object detection, in regarding of the reconstruction quality and efficiency.

关键词： Image quality Resistance Clustering algorithms Object detection Tomography Real-time systems Sensors Pattern recognition Indexes Image reconstruction

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Torsional Vibration Suppression Method Design for Variable-Speed Wind Turbine Based on UIO-SMC 22

Torsional Vibration Suppression Method Design for Variable-S...

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22nd IEEE International Conference on industrial Informatics, INDIN 2024

作者： Yu, Jiajun Xia, Jinhui Su, Jinya Li, Ze Huang, Wentao The School of Automation Southeast University Nanjing210096 China The State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310058 China The College of Electronic and Information Engineering Hebei University Baoding071002 China The School of Internet of Things Engineering Jiangnan University Wuxi214122 China

ISBN: (纸本)9798331527471

With the continuous development of the wind power industry, variable-speed wind turbines (VSWT) are moving towards large-scale, and their applications have been expanded to offshore areas. However, the operating environment of offshore wind farm is even more harsh, and the potential torsional vibration of the drivetrain caused by disturbances in the offshore wind farm may introduce fatigue damage to the VSWT, resulting in unexpected faults that may lead to prolonged shutdown of the VSWT and loss of power generation efficiency. This study proposes a torsional vibration suppression strategy based on unknown input observer and sliding mode control. The proposed suppression strategy provides an appropriate electromagnetic torque compensation for the generator to mitigate disturbances in the whole control system. The effectiveness of the proposed strategy is validated by extensive simulation studies. © 2024 IEEE.

关键词： Sliding mode control

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