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International Conference on Computing, Networking and Communications (ICNC)

作者： Rakpong Kaewpuang Minrui Xu Dusit Niyato Han Yu Zehui Xiong Xuemin Sherman Shen School of Computer Science and Engineering Nanyang Technological University (NTU) Pillar of Information Systems Technology and Design Singapore University of Technology and Design (SUTD) Department of Electrical and Computer Engineering University of Waterloo

Increasing privacy and security concerns in intelligence-native 6G networks require quantum key distribution-secured federated learning (QKD-FL), in which data owners connected via quantum channels can train an FL global model collaboratively without exposing their local datasets. To facilitate QKD-FL, the architectural design and routing management framework are essential. However, effective implementation is still lacking. To this end, we propose a hierarchical architecture for QKD-FL systems in which QKD resources (i.e., wavelengths) and routing are jointly optimized for FL applications. In particular, we focus on adaptive QKD resource allocation and routing for FL workers to minimize the deployment cost of QKD nodes under various uncertainties, including security requirements. The experimental results show that the proposed architecture and the resource allocation and routing model can reduce the deployment cost by 7.72% compared to the CO-QBN algorithm.

关键词： Adaptation models Costs Uncertainty Adaptive systems Federated learning computer architecture Routing

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computer-integrated drive control in systems with variable imbalance 4

Computer-integrated drive control in systems with variable i...

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4th IEEE KhPI Week on Advanced Technology, KhPI Week 2023

作者： Pavlenko, Volodymyr Dromenko, Valeria Kurliak, Petro Volianyk, Oleksii Batsala, Yaroslav Horiashchenko, Serhiy Department of Information and Computer Technologies Kyiv National University of Technologies and Design Kyiv Ukraine Department of Electrical Power Engineering Ivano-Frankivsk National Technical University of Oil and Gas Ivano-Frankivsk Ukraine Department of Mechanical Engineering Kyiv National University of Technologies and Design Kyiv Ukraine Department of Machines and Devices Electromechanical and Energy Systems Khmelnytskyi National University Khmelnytskyi Ukraine

ISBN: (纸本)9798350395532

The paper introduces a computer-integrated system designed for the automatic control in centrifuges with variable imbalance. The system comprises a microcontroller, a Hall sensor, a computer-oriented Bond Graph model of an asynchronous motor, and a control program. The control program utilizes a proposed algorithm to monitor the nominal and critical values of the centrifuge drive current while continuously recording and observing the current. If there is an increase in the current, the system automatically resets the revolutions by 10%, aiming to minimize vibration amplitude during transient rotational modes. Subsequently, the system oversees the permissible current limit and engine load to ensure stable operation. © 2023 IEEE.

关键词： Induction motors

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Heterogeneous Statistical QoS Provisioning for Scalable Software-Defined 6G Mobile Networks

Heterogeneous Statistical QoS Provisioning for Scalable Soft...

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Annual Conference on Information Sciences and systems (CISS)

作者： Xi Zhang Qixuan Zhu H. Vincent Poor Department of Electrical and Computer Engineering Networking and Information Systems Laboratory Texas A&M University TX USA Department of Electrical and Computer Engineering Princeton University Princeton NJ USA

Due to the explosively increasing number of mobile users and the new types of data demands in the fifth generation (5G) mobile wireless network, research in wireless networks has shifted toward the development of the sixth-generation (6G) wireless network. Although the research for software-defined network (SDN) architectures in 5G mainly focuses on the dynamic programming for the internet backbone, these software programming techniques can be also applied at the network edge to support the exponentially increasing demands from mobile users under constrained wireless resources. In order to study the interference problem resulted by massive mobile users, the scaling law is a powerful tool to show how fast the levels of network imperfections can be tolerated as the number of mobile users increases. In this paper, we investigate the scaling behavior of software-defined architectures over 6G wireless networks. We consider the wireless channel in three scenarios: single-input-single-output (SISO), multiple-input-single-output (MISO), and multiple-input-multiple-output (MIMO), where we derive the corresponding scaling law for each scenario, respectively. Our derived scaling law shows how the network performance scales with the number of mobile users in a wireless network. Then, we propose a software-defined network slicing scheme to select the optimal mobile users and derive their optimal resource allocations, according to our derived scaling law, under SISO, MISO, and MIMO wireless channel, respectively. Finally, we validate and evaluate the derived scaling behavior of the software-defined architecture over 6G wireless networks through numerical analyses.

关键词： 6G mobile communication Wireless networks Microprocessors computer architecture Quality of service MISO communication Behavioral sciences

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Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach

arXiv

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arXiv 2024年

作者： Etesami, S. Rasoul Srikant, R. Department of Industrial and Systems Engineering Department of Electrical and Computer Engineering Coordinated Science Laboratory University of Illinois Urbana-Champaign UrbanaIL61801 United States Department of Electrical and Computer Engineering and Coordinated Science Laboratory University of Illinois Urbana-Champaign UrbanaIL61801 United States

We consider the problem of learning stable matchings with unknown preferences in a decentralized and uncoordinated manner, where "decentralized" means that players make decisions individually without the influence of a central platform, and "uncoordinated" means that players do not need to synchronize their decisions using pre-specified rules. First, we provide a game formulation for this problem with known preferences, where the set of pure Nash equilibria (NE) coincides with the set of stable matchings, and mixed NE can be rounded to a stable matching. Then, we show that for hierarchical markets, applying the exponential weight (EXP) learning algorithm to the stable matching game achieves logarithmic regret in a fully decentralized and uncoordinated fashion. Moreover, we show that EXP converges locally and exponentially fast to a stable matching in general markets. We also introduce another decentralized and uncoordinated learning algorithm that globally converges to a stable matching with arbitrarily high probability. Finally, we provide stronger feedback conditions under which it is possible to drive the market faster toward an approximate stable matching. Our proposed game-theoretic framework bridges the discrete problem of learning stable matchings with the problem of learning NE in continuous-action games. Copyright © 2024, The Authors. All rights reserved.

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Equivalent-circuit Models of Grid-forming IBRs for Electromagnetic-transient Simulations

Equivalent-circuit Models of Grid-forming IBRs for Electroma...

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IEEE General Meeting Power& Energy Society

作者： Nathan Baeckeland Thomas Ankner Sairaj Dhople Brian B. Johnson Gab-Su Seo Power Systems Engineering Center National Renewable Energy Laboratory Golden CO USA Department of Electrical and Computer Engineering University of Minnesota Minneapolis MN USA Chandra Family Department of Electrical and Computer Engineering University of Texas Austin TX USA

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

We derive equivalent-circuit models of control- and physical-layer subsystems of grid-forming (GFM) inverter-based resources (IBRs) for electromagnetic-transient (EMT) simulations. Three different primary controllers are considered: Droop, Virtual Synchronous Machine (VSM), and dispatchable Virtual Oscillator Control (dVOC). In addition, the models include cascaded voltage- and current-control loops, and LCL output filters. Simulations for a single-inverter setup and for a network of five inverters in a modified IEEE 14-bus topology are presented. The equivalent-circuit models simulated with analog electronic circuit-simulator software (in our case, LTspice) offer the same accuracy, and with no explicit tuning of the solver, lower computational burden compared to block-diagram-based implementations in commercial off-the-shelf EMT software (in our case, MATLAB-Simulink).

关键词： Network topology Computational modeling Software Mathematical models Topology Synchronous machines Tuning Oscillators Grid forming Matlab

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Equilibrium mechanism between dc voltage and ac frequency for ac-dc interlinking converters

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iEnergy 2022年第3期1卷 279-284页

作者： Haixu Shi Kai Sun Xiaochao Hou Yunwei Li Haihao Jiang Guangdong Midea Refrigeration Equipment Co. Ltd.GuangdongFoshan 528311China Department of Electrical Engineering State Key Laboratory of Power SystemsTsinghua UniversityBeijing 100084China Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6G 1H9Canada

The equilibrium between dc bus voltage and ac bus frequency(Udc-f equilibrium)is the algorithm core of unified control strategies for ac-dc interlinking converters(ILCs),because the equilibrium implements certain ***,what the mechanism is has not been explicitly explored,which hinders further studies on unified *** paper reveals that the state-space model of a Udc-f equilibrium controlled ILC is highly similar to that of a shaft-to-shaft machines *** a detailed mechanism is dis-covered and named“virtual shaft-to-shaft machine(VSSM)”mechanism.A significant feature of VSSM mechanism is self-synchro-nization without current sampling or ac voltage sampling.

关键词： Virtual machine interlinking converter unified control microgrid.

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Communication Network Layer State Estimation Measurement Model for a Cyber-Secure Smart Grid

Communication Network Layer State Estimation Measurement Mod...

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2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024

作者： Mathieu, Reynold Boamah, Sharon Cooper, Austin Agnew, Dennis McNair, Janise Bretas, Arturo University of Florida Department of Electrical and Computer Engineering GainesvilleFL United States Distributed Systems Group Pacific Northwest National Laboratory RichlandWA United States G2Elab Grenoble INP CNRS Universite Grenoble Alpes Grenoble38000 France

ISBN: (纸本)9798350313604

Network communication has been proven to be a very important tool and a key factor in the recent development and progress of the power grid operation. It is also considered as the foundation for the smart grid because information and communication are integrated into electricity distribution to achieve reliable and accurate knowledge of the power grid. In previous years, absorbing energy from substations and delivering it to customers was the only type of interaction we knew between utility companies and customers. Presently, the growing connections of small distributed generation units caused by the cost reduction of most of the technologies used in the generation and storage of electrical energy, along with the potential benefits of renewable energy have pushed many researchers to look into the improvement of information and communication technologies (ICT) in order to ensure a bidirectional flow of power and data. Moreover, the evolution of information and communication technologies and its applications to smart grid have converted the smart grid into a cyber-physical system where vulnerabilities and additional security challenges such as cyber-threats and cyber-attacks have emerged. Previously, we have demonstrated that using machine learning-based processing on data gathered from communication networks and the power grid was a promising solution for detecting cyber threats by implementing a co-simulation of cyber-security for cross-layer strategy. Since the majority of the challenges observed can only be solved in the network communication layer, we present in this work a physics-based state estimation model of the communication network system towards enhanced cyber-physical security of the smart grid. Information integration with the previously developed machine learning model is developed, providing an enhanced cyber-physical security application for the smart grid. Easy-to-implement model, without hard-to-derive parameters, highlights potential aspects of th

关键词： Smart power grids

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Trajectory Tracking of Tractor-Trailer Wheeled Mobile Robots via Dynamic Feedback Linearization in Forward and Backward Motion 10

Trajectory Tracking of Tractor-Trailer Wheeled Mobile Robots...

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10th International Conference on Control, Instrumentation and Automation, ICCIA 2024

作者： Olyai, Mohammad Alipour, Khalil Tarvirdizadeh, Bahram Sorouri, Majid Ghamari, Mohammad Laboratory Department of Mechatronics Eng School of Intelligent Systems Engineering College of Interdisciplinary Science and Technology Tehran Iran Maynooth University Maynooth Department of Electronic Engineering Co. Kildare Ireland Islamic Azad University Science and Research Branch Department of Computer and Mechatronics Engineering Tehran Iran California Polytechnic State University Electrical Engineering Department San Luis ObispoCA93407 United States

ISBN: (纸本)9798331509972

One type of wheeled mobile robot widely used in public transportation and for carrying high payloads is the tractor-Trailer wheeled robots (TTWRs). This study considers a differentially-driven tractor under pure rolling conditions, which is subject to nonholonomic constraints. Controlling a TTWR in both backward and forward motion is challenging due to inherent instability. To address this issue and achieve trajectory tracking control for these systems, this paper employs dynamic feedback linearization (DFL) to overcome the limitations of static feedback linearization (SFL). The system's response will be examined under various trajectories and initial conditions for both forward and backward motion. © 2024 IEEE.

关键词： Tractors (truck)

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Transferable Learning of GCN Sampling Graph Data Clusters from Different Power systems

Transferable Learning of GCN Sampling Graph Data Clusters fr...

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Annual Allerton Conference on Communication, Control, and Computing

作者： Tong Wu Anna Scaglione Daniel Arnold Tianyi Chen The Department of Electrical and Computer Engi-neering University of Central Florida Orlando FL USA The Department of Electrical and Computer Engineering Cornell Tech Cornell University New York City NY USA Lawrence Berkeley National Laboratory The Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

ISBN: (数字)9798331541033

ISBN: (纸本)9798331541040

Contemporary neural network (NN) detectors for power systems face two primary challenges. First, each power system requires individual training of NN detectors to accommodate its unique configuration and base demands. Second, significant changes within the power system, such as the introduction of new substations or new generators, necessitate retraining. To overcome these issues, we introduce a novel architecture, the Nodal Graph Convolutional Neural Network (NGCN), which utilizes graph convolutions at each bus and its neighborhoods. This approach allows the training process to encompass multiple power systems and include all buses, thereby enhancing the transferability of the method across different power systems. The NGCN is particularly effective for detection tasks, such as cyber-attacks on smart inverters and false data injection attacks. Our tests demonstrate that the NGCN significantly improves performance over traditional NNs, boosting detection accuracy from approximately 85% to around 97% for the aforementioned task. Furthermore, the transferable NGCN, which is trained by samples from multiple power systems, performs considerably better in evaluations than the NGCN trained on a single power system.

关键词： Training Accuracy Substations Detectors computer architecture Inverters Power systems Cyberattack Faces Monitoring

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ON INFINITE-HORIZON MINIMUM ENERGY CONTROL

arXiv

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arXiv 2025年

作者： Belabbas, Mohamed-Ali Chen, Xudong Electrical and Computer Engineering Department and Coordinated Science Laboratory University of Illinois Urbana-Champaign United States Electrical and Systems Engineering Washington University in St. Louis United States

We address the infinite-horizon minimum energy control problem for linear time-invariant finite-dimensional systems (A, B). We show that the problem admits a solution if and only if (A, B) is stabilizable and A does n... 详细信息

关键词： Linear time-invariant system

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