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8th IEEE Workshop on the Electronic Grid, eGRID 2023

作者： Wurfel, Hans Lorenz-Meyer, Nicolai Schiffer, Johannes Chair of Control Systems and Network Control Technology BTU Cottbus-Senftenberg Cottbus Germany Cottbus Germany

ISBN: (纸本)9798350327007

With an increasing share of power-electronics inter-faced generation units in the energy mix, the demand for accurate dynamic transient simulations of power grids rises. Up to now, such simulations often employ highly simplified inverter models that neglect the inner control loops by replacing them with ideal voltage or current sources. In this paper, we present inner loop models for both voltage and current control modes based on first principles. We use the balanced residualization approach to derive reduced-order models, which cover a middle ground between highly simplistic ideal sources and computationally expensive full-order models. The models are validated against experimental data in a Power-Hardware-in-the-Loop laboratory. © 2023 IEEE.

关键词： Electric power system control

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On the relationship between the activity at point of interests and road traffic

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Communications in Transportation Research 2023年第1期3卷 150-160页

作者： MátéKolat Tamás Tettamanti TamásBécsi Domokos Esztergár-Kiss Department of Control for Transportation and Vehicle Systems Faculty of Transportation Eng.and Vehicle Eng.Budapest University of Technology and EconomicsBudapest1111PestHungary Systems and Control Laboratory Institute for Computer Science and Control of the Eötvös Lorand Research NetworkBudapest1053PestHungary Department of Transport Technology and Economics Faculty of Transportation Eng.and Vehicle Eng.Budapest University of Technology and EconomicsBudapest1111PestHungary

The estimation and analysis of road traffic represent the preliminary steps towards satisfying the current needs for smooth,safe,and green ***,effective traffic monitoring is an essential topic alongside the planning of sustainable transportation systems and the development of new traffic management *** contrast to classical traffic detection solutions,this study investigates the correlation between travelers'social activities and road *** s's primary goal is to investigate the presence of the relationship between social activity and road traffic,which might allow an infrastructure-independent traffic monitoring technique as ***'s general activities at Point of Interest(POI)locations(measured as occupancy parameter)are correlated with traffic data so that,finally,proper proxys can be defined for link-level average traffic speed *** method is tested and evaluated using real-world traffic and POI occupancy data from Budapest(District XI.).The results of the correlation investigation justify an indirect relationship between activity at POIs and road traffic,which holds promise for future practical applicability.

关键词： Road traffic estimation Google popular times(GPT) Point of interest(POI) POI occupancy Genetic algorithm(GA)

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Sufficient Conditions for Global Boundedness of Solutions for Two Coupled Synchronverters 63

Sufficient Conditions for Global Boundedness of Solutions fo...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Mercado-Uribe, Angel Mendoza-Avila, Jesus Efimov, Denis Schiffer, Johannes Brandenburgische Technische Universität Cottbus-Senftenberg Control Systems and Network Technology Group Germany Inria Univ. Lille Cnrs Umr 9189 - CRIStAL LilleF-59000 France Brandenburgische Technische Universität Cottbus-Senftenberg and the Fraunhofer Ieg Fraunhofer Research Institution on Energy Infrastructures and Geothermal Systems Ieg Control Systems and Network Technology Group Germany

ISBN: (纸本)9798350316339

This paper analyzes two synchronverters connected in parallel to a common capacitive-resistive load through resistive-inductive power lines. This system is conceptualized as a microgrid with two renewable energy sources controlled using the synchronverter algorithm. It is modeled as an interconnection of three port-Hamiltonian systems, and the dq-coordinates model is derived by averaging the frequencies. Applying the recent Leonov function theory, sufficient conditions to guarantee the global boundedness of the whole system's trajectories are provided. This is necessary to reach the global synchronization of microgrids. Additionally, a numerical example illustrates the potential resonance behavior of the microgrid. © 2024 IEEE.

关键词： Hamiltonians

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Towards a systematic and knowledge-based requirements and conceptual engineering for modular electrolysis plants

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Energy Informatics 2023年第1期6卷 43页

作者： Markaj, Artan Lorenz, Julius Scholz, Lena Henkel, Vincent Fay, Alexander Institute of Automation Technology Helmut Schmidt University Hamburg Holstenhofweg 85 Hamburg Hamburg22087 Germany Chair of Process Control Systems Dresden University of Technology Georg-Schumann-Strasse 18 Saxony Dresden01062 Germany

The production of green hydrogen and its scale-up require the enginering and installation of new electrolysis plants. Modular electrolysis plants ease the scale-up as they allow to add further modules with growing demand. While many engineering methods focus on the detailed planning of the plants and their automation systems, the early engineering phases are scarcely considered, supported or formalized. However, especially these phases are crucial in the current scale-up of modular electrolysis plants. In this paper, an intention-based engineering approach for the early engineering phases Requirements Engineering and Conceptual Engineering for modular electrolysis plants is presented and evaluated based on three different use cases. The approach is based on Goal-oriented Requirements Engineering from Software Engineering and relies on an early, systematic as well as formalized description and analysis of intentions of different engineering disciplines. © 2023, The Author(s).

关键词： Requirements engineering

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SOPA-GA-CNN: Synchronous optimisation of parameters and architectures by genetic algorithms with convolutional neural network blocks for securing Industrial Internet-of-Things

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IET Cyber-systems and Robotics 2023年第1期5卷 51-66页

作者： Jia-Cheng Huang Guo-Qiang Zeng Guang-Gang Geng Jian Weng Kang-Di Lu College of Cyber Security and the National Joint Engineering Research Center of Network Security Detection and Protection Technology Jinan UniversityGuangzhouChina National-Local Joint Engineering Research Center of Digitalize Electrical Design Technology Wenzhou UniversityWenzhouChina National Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityHangzhouChina

In recent years,deep learning has been applied to a variety of scenarios in Industrial Internet of Things(IIoT),including enhancing the security of ***,the existing deep learning methods utilised in IIoT security are manually designed by heavily relying on the experience of the *** authors have made the first contribution concerning the joint optimisation of neural architecture search and hyper-parameters optimisation for securing IIoT.A novel automated deep learning method called synchronous optimisation of parameters and architectures by GA with CNN blocks(SOPA-GA-CNN)is proposed to synchronously optimise the hyperparameters and block-based architectures in convolutional neural networks(CNNs)by genetic algorithms(GA)for the intrusion detection issue of *** efficient hybrid encoding strategy and the corresponding GA-based evolutionary operations are designed to characterise and evolve both the hyperparameters,including batch size,learning rate,weight optimiser and weight regularisation,and the architectures,such as the block-based network topology and the parameters of each CNN *** experimental results on five intrusion detection datasets in IIoT,including secure water treatment,water distribution,Gas Pipeline,Botnet in Internet of Things and Power System Attack Dataset,have demonstrated the superiority of the proposed SOPA-GA-CNN to the state-of-the-art manually designed models and neuron-evolutionary methods in terms of accuracy,precision,recall,F1-score,and the number of parameters of the deep learning models.

关键词： cyber-systems deep learning deep neural network Internet of things swarm intelligence

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ADRC Combined with IMC for Non-Minimum Phase systems 42

ADRC Combined with IMC for Non-Minimum Phase Systems

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42nd Chinese control Conference, CCC 2023

作者： Li, Xiangyang Deng, Xindi Tian, Senping Ai, Wei Ministry of Education School of Automation Science and Engineering Key Laboratory of Autonomous Systems and Network Control South China University of Technology Guangzhou510641 China

ISBN: (纸本)9789887581543

The integrated control method, active disturbance rejection control (ADRC) combined with internal model control (IMC), is proposed for non-minimum phase systems. The ADRC combined with IMC is to reduce the influence of zeros on right half plant (RHP), system uncertainty and outer disturbance. An improved IMC is put in the inner loop and ADRC is adopted in the outer loop. In order to enhance the system's stability, an approximate zero phase error model of controlled plant (ZPEM) is used as the internal model in the IMC control loop where the feedback of the inner loop is the dynamic weighted filter sum of the real output and the ZPEM output. The theoretical analysis and simulations verify effectiveness of the proposed method for non-minimum phase systems. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Disturbance rejection

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Experimentally Validated Reduced-Order Models for Grid-Connected Inverters Using Balanced Residualization

Experimentally Validated Reduced-Order Models for Grid-Conne...

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IEEE Electronic Power Grid (eGrid)

作者： Hans Würfel Nicolai Lorenz-Meyer Johannes Schiffer Chair of Control Systems and Network Control Technology BTU Cottbus-Senftenberg Cottbus Germany Fraunhofer Research Institution for Energy Infrastructures and Geothermal Systems (IEG) Cottbus Germany

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Novel vision-LiDAR fusion framework for human action recognition based on dynamic lateral connection

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IET Cyber-systems and Robotics 2024年第4期6卷 21-31页

作者： Fei Yan Guangyao Jin Zheng Mu Shouxing Zhang Yinghao Cai Tao Lu Yan Zhuang The School of Control Science and Engineering Dalian University of TechnologyDalianChina Technology Centre of Dalian Customs Dalian CustomsDalianChina ZX‐YZ School of Network Science Haikou University of EconomicsHainanChina The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijingChina

In the past decades,substantial progress has been made in human action ***,most existing studies and datasets for human action recognition utilise still images or videos as the primary ***-based approaches can be easily impacted by adverse environmental *** this paper,the authors propose combining RGB images and point clouds from LiDAR sensors for human action recognition.A dynamic lateral convolutional network(DLCN)is proposed to fuse features from *** RGB features and the geometric information from the point clouds closely interact with each other in the DLCN,which is complementary in action *** experimental results on the JRDB-Act dataset demonstrate that the proposed DLCN outperforms the state-of-the-art approaches of human action *** authors show the potential of the proposed DLCN in various complex scenarios,which is highly valuable in real-world applications.

关键词： neural network-based pedestrian identification sensor fusion

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MMH-FE:AMulti-Precision and Multi-Sourced Heterogeneous Privacy-Preserving Neural network Training Based on Functional Encryption

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Computers, Materials & Continua 2025年第3期82卷 5387-5405页

作者： Hao Li Kuan Shao Xin Wang Mufeng Wang Zhenyong Zhang The State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang550025China Key Laboratory of Computing Power Network and Information Security Ministry of EducationShandong Computer Science CenterQilu University of Technology(Shandong Academy of Sciences)Jinan250014China China Industrial Control Systems Cyber Emergency Response Team Beijing100040China

Due to the development of cloud computing and machine learning,users can upload their data to the cloud for machine learning model ***,dishonest clouds may infer user data,resulting in user data *** schemes have achieved secure outsourced computing,but they suffer from low computational accuracy,difficult-to-handle heterogeneous distribution of data from multiple sources,and high computational cost,which result in extremely poor user experience and expensive cloud computing *** address the above problems,we propose amulti-precision,multi-sourced,andmulti-key outsourcing neural network training ***,we design a multi-precision functional encryption computation based on Euclidean ***,we design the outsourcing model training algorithm based on a multi-precision functional encryption with multi-sourced ***,we conduct experiments on three *** results indicate that our framework achieves an accuracy improvement of 6%to 30%.Additionally,it offers a memory space optimization of 1.0×2^(24) times compared to the previous best approach.

关键词： Functional encryption multi-sourced heterogeneous data privacy preservation neural networks

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Distributed algorithm for solving variational inequalities over time-varying unbalanced digraphs

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control Theory and technology 2024年第3期22卷 431-441页

作者： Yichen Zhang Yutao Tang Zhipeng Tu Yiguang Hong School of Artificial Intelligence Beijing University of Posts and TelecommunicationsBeijing 100876China Network Technology Laboratory Huawei Technologies Co.Ltd.Beijing 100095China Department of Control Science and Engineering Tongji UniversityShanghai 200092China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 200092China

In this paper,we study a distributed model to cooperatively compute variational inequalities over time-varying directed ***,each agent has access to a part of the full mapping and holds a local view of the global set *** virtue of an auxiliary vector to compensate the graph imbalance,we propose a consensus-based distributed projection algorithm relying on local computation and communication at each *** show the convergence of this algorithm over uniformly jointly strongly connected unbalanced digraphs with nonidentical local *** also provide a numerical example to illustrate the effectiveness of our algorithm.

关键词： Variational inequality Distributed computation Multi-agent system Weight-unbalanced graph

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