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A Feature-Aided Multiple Model Algorithm for Maneuvering Target Tracking

IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 566-568页

作者： Yiwei Tian Meiqin Liu Senlin Zhang Ronghao Zheng Shanling Dong College of Electrical Engineering Zhejiang University National Key Laboratory of Industrial Control Technology Zhejiang University IEEE National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Xi’an Jiaotong University

Dear Editor,This letter deals with the tracking problem for non-cooperative maneuvering targets based on the underwater sensor networks. Considering the acoustic intensity feature of underwater targets, a feature-aide... 详细信息

关键词： underwater Aided letter

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QTFN:A General End-to-End Time-Frequency Network to Reveal the Time-Varying Signatures of the Time Series

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Big Data Mining and Analytics 2024年第3期7卷 905-919页

作者： Tao Chen Yang Jiao Lei Xie Hongye Su State Key Laboratory of Industrial Control Technology Zhejiang UniversityHangzhou 310027China Shenzhen Key Laboratory of Intelligent Bioinformatics and College of Computer Science and Control EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

Nonstationary time series are ubiquitous in almost all natural and engineering *** the time-varying signatures from nonstationary time series is still a challenging problem for data *** Time-Frequency Distribution(TFD)provides a powerful tool to analyze these ***,they suffer from Cross-Term(CT)issues that impair the readability of ***,to achieve high-resolution and CT-free TFDs,an end-to-end architecture termed Quadratic TF-Net(QTFN)is proposed in this *** by classic TFD theory,the design of this deep learning architecture is heuristic,which firstly generates various basis functions through ***,more comprehensive TF features can be extracted by these basis ***,to balance the results of various basis functions adaptively,the Efficient Channel Attention(ECA)block is also embedded into ***,a new structure called Muti-scale Residual Encoder-Decoder(MRED)is also proposed to improve the learning ability of the model by highly integrating the multi-scale learning and encoder-decoder ***,although the model is only trained by synthetic signals,both synthetic and real-world signals are tested to validate the generalization capability and superiority of the proposed QTFN.

关键词： Time-Frequency Analysis(TFA) Multi-scale Residual Encoder-Decoder(MRED) quadratic Time-Frequency Distribution(TFD)

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ER‐Mapping: An extrinsic robust coloured mapping system using residual evaluation and selection

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IET Cyber-Systems and Robotics 2024年第2期6卷 97-108页

作者： Changjian Jiang Zeyu Wan Ruilan Gao Yu Zhang State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhouChina Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province HangzhouChina

The colour-enhanced point cloud map is increasingly being employed in fields such as robotics,3D reconstruction and virtual *** authors propose ER-Mapping(Extrinsic Robust coloured Mapping system using residual evaluation and selection).ER-Mapping consists of two components:the simultaneous localisation and mapping(SLAM)subsystem and the colouring *** SLAM subsystem reconstructs the geometric structure,where it employs a dynamic threshold-based residual selection in LiDAR-inertial odometry to improve mapping *** the other hand,the col-ouring subsystem focuses on recovering texture information from input images and innovatively utilises 3D–2D feature selection and optimisation methods,eliminating the need for strict hardware time synchronisation and highly accurate extrinsic *** were conducted in both indoor and outdoor *** results demonstrate that our system can enhance accuracy,reduce computational costs and achieve extrinsic robustness.

关键词： robot vision sensor fusion simultaneous localisation and mapping(robots)

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Unbalanced Voltage Suppression of Bipolar DC Microgrids with Integration of DC Zero-carbon Buildings

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Journal of Modern Power Systems and Clean Energy 2024年第6期12卷 1942-1956页

作者： Xuefei Zhang Chunsheng Guo Yiyao Zhou Xiaolong Xu Jianquan Liao Niancheng Zhou Qianggang Wang State Key Laboratory of Power Transmission Equipment Technology School of Electrical EngineeringChongqing UniversityChongqingChina College of Electrical Engineering Sichuan UniversityChengduChina

Considering the majority of electrical equipment utilized in society is driven by DC,integrating a DC system can significantly enhance the efficiency and reliability of power sys-tems by implementing the integration of diverse loads,renew-able energy sources(RESs),and energy storage systems(ESSs).In this paper,the integration of multiple DC zero-carbon build-ings(DC-ZCBs)is proposed to achieve the unbalanced voltage suppression of the bipolar DC microgrid(DCMG).The photo-voltaic(PV)technology,loads,and DC electric springs(DC-ESs)are adopted as a unified entity to achieve the zero-carbon emission of the ***,a new configuration of PV and DC-ESs is *** energy management of PV,ESS,and load are fully considered in this new configuration,which can reduce the capacity of the ***,a distributed co-operative control strategy for DC-ESs based on the modulus voltage is presented,which is implemented with integration of the new configuration into the bipolar *** proposed approach addresses the issues of unbalanced voltage to improve the operating efficiency and power quality of the bipolar *** simulation is conducted in MATLAB/Simulink plat-form to confirm the effectiveness of the proposed approach.

关键词： Bipolar DC microgrid(DCMG) DC zero-car-bon building(DC-ZCB) electric spring(ES) modulus voltage control unbalanced voltage suppression

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Design,fabrication,and realisation of a robotic fish actuated by dielectric elastomer with a passive fin

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IET Cyber-Systems and Robotics 2023年第2期5卷 48-55页

作者： Zekai Wang Junqiang Lou Xingdong Xiao Guoping Li Yimin Deng College of Mechanical and Electrical Engineering Zhejiang Industrial Polytechnic CollegeShaoxingChina College of Mechanical Engineering and Mechanics Ningbo UniversityNingboChina State Key Laboratory of Industrial Control Technology Zhejiang UniversityHangzhouChina

Robotic fish actuated by smart materials has attracted extensive attention and has been widely used in many *** this study,a robotic fish actuated by dielectric elastomer(DE)films is *** tensile behaviours of DE film VHB4905 are studied,and the Ogden constitutive equation is employed to describe the stress‐strain behaviour of the DE *** fabrication processes of the robotic fish,including prestretching treatment of the DE films,electrode coating with carbon paste,and waterproof treatment,are illustrated in *** dynamic response of the fabricated DE actuators under different excitation voltages is tested based on the experimental *** results show that the first‐order natural frequencies of the obtained DE actuator in air is 4.05 ***,the swimming performances of the proposed robotic fish at different driving levels are demonstrated,and it achieves an average swimming speed of 20.38 mm/s,with a driving voltage of 5kV at 0.8 Hz.

关键词： dielectric elastomer fabrication robotic fish swimming performances

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Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment 38

Addressing Spatial-Temporal Heterogeneity: General Mixed Tim...

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Chen, Jiawei Zhao, Chunhui State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University China

Mixed time series (MiTS) comprising both continuous variables (CVs) and discrete variables (DVs) are frequently encountered yet under-explored in time series analysis. Essentially, CVs and DVs exhibit different temporal patterns and distribution types. Overlooking these heterogeneities would lead to insufficient and imbalanced representation learning, bringing biased results. This paper addresses the problem with two insights: 1) DVs may originate from intrinsic latent continuous variables (LCVs), which lose fine-grained information due to extrinsic discretization;2) LCVs and CVs share similar temporal patterns and interact spatially. Considering these similarities and interactions, we propose a general MiTS analysis framework MiTSformer, which recovers LCVs behind DVs for sufficient and balanced spatial-temporal modeling by designing two essential inductive biases: 1) hierarchically aggregating multi-scale temporal context information to enrich the information granularity of DVs;2) adaptively learning the aggregation processes via the adversarial guidance from CVs. Subsequently, MiTSformer captures complete spatial-temporal dependencies within and across LCVs and CVs via cascaded self- and cross-attention blocks. Empirically, MiTSformer achieves consistent SOTA on five mixed time series analysis tasks, including classification, extrinsic regression, anomaly detection, imputation, and long-term forecasting. The code is available at https://***/chunhuiz/MiTSformer. © 2024 Neural information processing systems foundation. All rights reserved.

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MAO-DBN based membrane fouling prediction

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Journal of Intelligent and Fuzzy Systems 2024年第4期46卷 10923-10939页

作者： Wang, Zhiwen Zhao, Yibin Shi, Yaoke Ling, Guobi College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou University of Technology Lanzhou China National Demonstration Center for Experimental Electrical and Control Engineering Education Lanzhou University of Technology Lanzhou China

Due to the complexity of the factors influencing membrane fouling in membrane bioreactors (MBR), it is difficult to accurately predict membrane fouling. This paper proposes a multi-strategy of integration aquila optimizer deep belief network (MAO-DBN) based membrane fouling prediction method. The method is developed to improve the accuracy and efficiency of membrane fouling prediction. Firstly, partial least squares (PLS) are used to reduce the dimensionality of many membrane fouling factors to improve the algorithm's generalization ability. Secondly, considering the drawbacks of deep belief network (DBN) such as long training time and easy overfitting, piecewise mapping is introduced in aquila optimizer (AO) to improve the uniformity of population distribution, while adaptive weighting is used to improve the convergence speed and prevent falling into local optimum. Finally, the prediction of membrane fouling is carried out by utilizing membrane fouling data as the research object. The experimental results show that the method proposed in this paper can achieve accurate prediction of membrane fluxes, with an 88.45% reduction in RMSE and 87.53% reduction in MAE compared with the DBN model before improvement. The experimental results show that the model proposed in this paper achieves a prediction accuracy of 98.61%, both higher than other comparative models, which can provide a theoretical basis for membrane fouling prediction in the practical operation of membrane water treatment. © 2024-IOS Press. All rights reserved.

关键词： Bioreactors

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Bearing fault diagnosis method for unbalance data based on Gramian angular field

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Journal of Intelligent and Fuzzy Systems 2024年第1-2期47卷 45-54页

作者： Yu, Ping Li, Rong-Bin Cao, Jie Qin, Jun-Hua College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou University of Technology Lanzhou China National Demonstration Center for Experimental Electrical and Control Engineering Education Lanzhou University of Technology Lanzhou China

In the application of deep learning-based fault diagnosis, more often than not, the network model could perform better with a balanced dataset input, whereby the number of fault data is equivalent to that of normal data. However, in the context of real-world applications, the number of fault data is generally insufficient compared to the normal data. In this study, a new approach for fault diagnosis in unbalanced data sets is proposed using the Gramian angular field (GAF) method. Firstly, the GAF method is employed to convert one-dimensional data into two-dimensional data, which enhances the feature extraction process. Secondly, to balance the sample distribution, fault data is generated using Generative Adversarial Networks (GANs). Finally, the Residual neural network (ResNet) with an attention mechanism is utilized to improve the accuracy of fault diagnosis. The proposed method is experimentally validated using open-source bearing datasets that are published by Case Western Reserve University and the University of Ottawa. The experimental results show that the proposed method has greatly improved fault diagnosis performance in cases of data distribution imbalance, surpassing that of the compared methods. © 2024 - IOS Press. All rights reserved.

关键词： Generative adversarial networks

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A Method for Scattering Removal in Three-Dimensional Fluorescence Spectra Based on Physics-Informed Neural Networks

A Method for Scattering Removal in Three-Dimensional Fluores...

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2024 China Automation Congress, CAC 2024

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

ISBN: (纸本)9798350368604

Three-dimensional fluorescence spectroscopy offers high-dimensional information and rapid sensitivity, making it advantageous in fields such as environmental monitoring and food testing. However, scattering effects can hinder analysis accuracy, and traditional de-scattering methods often lead to signal loss and distortion. To overcome these issues, a denoising method based on a physics-informed neural network is proposed. This method includes a physical information reconstruction module that generates theoretical values approximating actual scattering values. Integrated into a GAN framework, this module uses physical quantities to guide the generator in producing physically consistent images, thus preserving material integrity after scattering removal. Tests on a self-built dataset show that this method achieves higher physical consistency compared to traditional methods. © 2024 IEEE.

关键词： III-V semiconductors

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A general Boolean semantic modelling approach for complex and intelligent industrial systems in the framework of DES

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Journal of Systems engineering and Electronics 2024年第5期35卷 1219-1230页

作者： XU Changyi WANG Yun DUAN Yiman ZHANG Chao Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education School of Control Science and EngineeringDalian University of TechnologyDalian 116024China State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical EngineeringZhejiang UniversityHangzhou 310027China

Discrete event system(DES)models promote system engineering,including system design,verification,and *** advancement in manufacturing technology has endowed us to fabricate complex industrial ***,the adoption of advanced modeling methodologies adept at handling complexity and scalability is ***,industrial systems are no longer quiescent,thus the intelligent operations of the systems should be dynamically specified in the *** this paper,the composition of the subsystem behaviors is studied to generate the complexity and scalability of the global system model,and a Boolean semantic specifying algorithm is proposed for generating dynamic intelligent operations in the *** traditional modeling approaches,the change or addition of specifications always necessitates the complete resubmission of the system model,a resource-consuming and error-prone *** with traditional approaches,our approach has three remarkable advantages:(i)an established Boolean semantic can be fitful for all kinds of systems;(ii)there is no need to resubmit the system model whenever there is a change or addition of the operations;(iii)multiple specifying tasks can be easily achieved by continuously adding a new ***,this general modeling approach has wide potential for future complex and intelligent industrial systems.

关键词： industrial complex system operation specifying Boolean semantic discrete event system(DES)theory intelligent operation

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