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Spatial-nonlocality-induced non-Markovian electromagnetically induced transparency in a single giant atom

Physical Review A 2022年第4期106卷 043710-043710页

作者： Y. T. Zhu S. Xue R. B. Wu W. L. Li Z. H. Peng M. Jiang Department of Automation Shanghai Jiao Tong University Shanghai 200240 People's Republic of China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 People's Republic of China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240 People's Republic of China Center for Intelligent and Networked Systems Department of Automation Tsinghua University Beijing 100084 People's Republic of China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Key Laboratory for Matter Microstructure and Function of Hunan Province Department of Physics and Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha 410081 People's Republic of China School of Electronics and Information Engineering Soochow University Suzhou 215006 People's Republic of China

The nonlocal waveguide coupling of giant atoms can bring up novel physics and applications. In this paper, we find unconventional electromagnetically induced transparency in giant atoms that has not been reported so far. We present a consistent theory for describing the unconventional EIT which includes a real-space scattering method and a time-delayed master equation. Our analysis shows this phenomenon is a full quantum effect led by a quantized interaction between the atom and the waveguide. Our theory shows that it can be observed when the time delay between two neighboring coupling points is comparable to the relaxation time of the atom. This phenomenon results from the inherent nonlocality of the giant atom, which physically forces propagating fields to be standing waves in space and the atom exhibiting retardations in time.

关键词： Quantum optics with artificial atoms Scattering theory Quantum master equation

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Unsupervised Learning of Depth and Pose Based on Monocular Camera and Inertial Measurement Unit (IMU)

Unsupervised Learning of Depth and Pose Based on Monocular C...

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IEEE International Conference on Robotics and automation (ICRA)

作者： Yanbo Wang Hanwen Yang Jianwei Cai Guangming Wang Jingchuan Wang Yi Huang University of Michigan-Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Weitong Vision Technology Co. Ltd.

The main content of the research in this paper is the estimation of depth and pose based on monocular vision and Inertial Measurement Unit (IMU). The usual depth estimation network and pose estimation network require depth ground truth or pose ground truth as a supervised signal for training, while the depth ground truth and pose ground truth are hard to obtain, and monocular vision based depth estimation cannot predict absolute depth. In this paper, with the help of IMU, which is inexpensive and widely used, we can obtain angular velocity and acceleration information. Two new supervision signals are proposed and the calculation expressions are given. Among them, the model trained with acceleration constraint shows a good ability to estimate the absolute depth during the test. It can be considered that the model can estimate the absolute depth. We also derive the method of estimating the scale factor during the test from the acceleration constraint, and also achieve good results as the acceleration constraint does. In addition, this paper also studies the method of using IMU information as pose network input and as selecting conditions. Moreover, it analyzes and discusses the experimental results. At the same time, we also evaluate the effect of the pose estimation of the relevant models. This article starts by reviewing the achievements and deficiencies of the work in this field, combines the use of IMU, puts forward three new methods such as a new loss function, and conducts a test analysis and discussion of relevant indicators on the KITTI data set.

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Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach

arXiv

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arXiv 2022年

作者： Li, Yang Wei, Xinhao Li, Yuanzheng Dong, Zhaoyang Shahidehpour, Mohammad The Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China The School of Artifcial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China The School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore The Electrical and Computer Engineering Department Illinois Institute of Technology ChicagoIL60616 United States The ECE Department The King Abdulaziz University Saudi Arabia

As an important cyber-physical system (CPS), smart grid is highly vulnerable to cyber attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one of the top-priority cyber-related issues and has received increasing attention in recent years. However, so far little attention has been paid to privacy preservation issues in the detection of FDIAs in smart grids. Inspired by federated learning, a FDIA detection method based on secure federated deep learning is proposed in this paper by combining Transformer, federated learning and Paillier cryptosystem. The Transformer, as a detector deployed in edge nodes, delves deep into the connection between individual electrical quantities by using its multi-head self-attention mechanism. By using federated learning framework, our approach utilizes the data from all nodes to collaboratively train a detection model while preserving data privacy by keeping the data locally during training. To improve the security of federated learning, a secure federated learning scheme is designed by combing Paillier cryptosystem with federated learning. Through extensive experiments on the IEEE 14-bus and 118-bus test systems, the effectiveness and superiority of the proposed method are verified. Copyright © 2022, The Authors. All rights reserved.

关键词： Smart power grids

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Towards Efficient Dynamic Uplink Scheduling over Multiple Unknown Channels

arXiv

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arXiv 2022年

作者： Wu, Shuang Ren, Xiaoqiang Jia, Qing-Shan Johansson, Karl Henrik Shi, Ling Huawei Noah’s Ark Lab Hong Kong The School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China The Center for Intelligent and Networked Systems Department of Automation BNRist Tsinghua University Beijing100084 China The Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden The Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

Age-of-Information (AoI) is a critical metric for network applications. Existing works mostly address optimization with homogeneous AoI requirements, which is different from practice. In this work, we optimize uplink scheduling for an access point (AP) over multiple unknown channels with heterogeneous AoI requirements defined by AoI-dependent costs. The AP serves N users by using M channels without the channel state information. Each channel serves only one user in each decision epoch. The optimization objective is to minimize the time-averaged AoI-dependent costs plus additional communication transmission costs over an infinite horizon. This decision-making problem can be formulated as a Markov decision process, but it is computationally intractable because the size of the state space grows exponentially with respect to the number of users. To alleviate the challenge, we reformulate the problem as a variant of the restless multi-armed bandit (RMAB) problem and leverage Whittle’s index theory to design an index-based scheduling policy algorithm. We derive an analytic formula for the indices, which reduces the computational overhead and facilitates online adaptation. Our numerical examples show that our index-based scheduling policy achieves comparable performance to the optimal policy and outperforms several other heuristics. Copyright © 2022, The Authors. All rights reserved.

关键词： Optimization

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DV-Hop Localization Algorithm Based on Multi-communication Radius and Improved Archimedes Optimization Algorithm

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Science Technology and engineering 2024年第35期24卷 15145-15151页

作者： Huang, Zi-Chen Zhang, Lie-Ping Yin, Ya-Meng Tan, Ming-Yang Wang, Shou-Feng Key Laboratory of Advanced Manufacturing and Automation Technology Guilin University of Technology Education Department of Guangxi Zhuang Autonomous Region Guilin541006 China Guangxi Key Laboratory of Special Engineering Equipment and Control Guilin University of Aerospace Technology Guilin541004 China Department of Electrical and Electronic Engineering Nanning Branch of Guilin University of Technology Nanning532100 China

A DV-Hop localization algorithm based on multi-communication radius and improved Archimedes optimization algorithm was proposed to address the problem of significant deviation of unknown nodes between the estimated position and the actual position in traditional DV-Hop algorithm. Firstly, the method of multi-communication radius for anchor nodes was adopted to reduce the error of unknown nodes in selecting the minimum number of hops. Then, improvements were made to the three steps of the Archimedes algorithm to improve its performance. Finally, the unknown nodes’ coordinates were obtained using improved Archimedes algorithm. The experimental results show that the proposed algorithm has better localization performance in the same environment. © 2024 Beijing Kexue Jishu yu Gongcheng Zazhishe. All rights reserved.

关键词： Local search (optimization)

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Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN

Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Gri...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Junyi Zhai Xinliang Dai Yuning Jiang Ying Xue Veit Hagenmeyer Colin N. Jones Xiao-Ping Zhang College of New Energy China University of Petroleum (UPC) China Karlsruhe Institute of Technology (KIT) Institute for Automation and Applied Informatics Germany Automatic Control Laboratory École Polytechnique Fédérale de Lausanne (EPFL) Switzerland School of Electric Power Engineering South China University of Technology (SCUT) China Department of Electronic Electrical and Systems Engineering University of Birmingham (UBir) Birmingham United Kingdom

The increasing application of voltage source converter (VSC) based high voltage direct current (VSC-HVDC) technology in power grids has raised the importance of incorporating DC grids and converters into the existing transmission network. This poses significant challenges in dealing with the resulting optimal power flow (OPF) problem. In this paper, a recently proposed nonconvex distributed optimization algorithm — Augmented Lagrangian based Alternating Direction Inexact Newton method (ALADIN), is tailored to solve the nonconvex AC/DC OPF problem for emerging voltage source converter (VSC) based multiterminal high voltage direct current (VSC-MTDC) meshed AC/DC hybrid systems. The proposed scheme decomposes this AC/DC hybrid OPF problem and handles it in a fully distributed way. Compared to the existing state-of-art Alternating Direction Method of Multipliers (ADMM), which is in general, not applicable for nonconvex problems, ALADIN has a theoretical convergence guarantee. Applying these two approaches to VSC-MTDC coupled with an IEEE benchmark AC power system illustrates that the tailored ALADIN outperforms ADMM in convergence speed and numerical robustness.

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Dominant Mode Identification and Influence Mechanism Investigation of Frequency Oscillations as Affected by Automatic Generation control

SSRN

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SSRN 2022年

作者： Zhou, Tao Chen, Liufu Bu, Siqi Ye, Hua Sun, Jie School of Automation Nanjing University of Science and Technology Nanjing China Department of Electrical Engineering The Hong Kong Polytechnic University Hong Kong Special Administrative Region Hong Kong Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

Several frequency oscillation events have recently been observed in practical power grids, which are strongly related with dynamic process of AGC (automatic generation control). To investigate the dynamic performance and oscillation mechanism of frequency oscillations, this paper establishes the state-space model of multi-area AGC systems containing different kinds of generator units and time-scale dynamics. Without distinguishing AGC and PFR (primary frequency regulation) modes, Homotopy method is applied to identify the dominant mode and thus analyze the key influencing factors of frequency oscillations affected by AGC dynamics. The method can clearly establish the congruent relationship between eigenvalues and state variables and is more rapid and intuitive than participation factors in this scene. Finally, simulations are performed in single-area as well as multi-area system based on real power grid data to demonstrate the proposed model and method. And relevant parameter influence mechanism and oscillation performances are investigated for AGC system oscillations. © 2022, The Authors. All rights reserved.

关键词： Time delay

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Consensus Analysis of Multi-Agent systems with Uncertain Switching Topology in Finite Frequency Domain 7

Consensus Analysis of Multi-Agent Systems with Uncertain Swi...

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7th International Conference on Information, Cybernetics, and Computational Social systems, ICCSS 2020

作者： Xu, Nuo Zhu, Yanzheng Yang, Rongni Chen, Xinkai The College of Mechanical Engineering and Automation Huaqiao University Xiamen361021 China School of Control Science and Engineering Shandong University Jinan Shandong250061 China Shibaura Institute of Technology The Department of Electronic and Information Systems Saitama Japan

ISBN: (纸本)9781728162461

In this paper, the issue of consistency analysis is investigated for a class of multi-agent system (MAS) with time-varying delay and uncertain switching topology in finite frequency domain. The dynamic topology is represented by continuous Markov switching state. The frequency bands of external noise interference are divided into low frequency, medium frequency and high frequency. The noise interference information is fully utilized to guarantee the stability of MAS. At the same time, the affine Bessel-Legendre inequality method is used when carrying out the consistency analysis. The obtained results are represented as the form of linear matrices inequalities. Finally, a series of simulations are illustrated to show the effectiveness and applicability of developed approaches in this paper. © 2020 IEEE.

关键词： Multi agent systems

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Achieving Peta-Ohm Resistance for Semi-Insulating 4H-SiC Devices by Atomic Layer Deposition

arXiv

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arXiv 2024年

作者： Xi, Yuying Li, Helios Y. Li, Guohui Su, Qingmei Mao, Kaili Xu, Bingshe Hao, Yuying Fang, Nicholas X. Cui, Yanxia College of Electronic Information and Optical Engineering Key Lab of Interface Science and Engineering in Advanced Materials Key Lab of Advanced Transducers and Intelligent Control System of Ministry of Education Taiyuan University of Technology Taiyuan030024 China Department of Mechanical Engineering University of Hong Kong Hong Kong999077 Hong Kong School of Materials Science and Engineering Materials Institute of Atomic and Molecular Science Shaanxi University of Science and Technology Xi’an710021 China Shanxi Semisic Crystal Co. Ltd. Taiyuan030000 China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Taiyuan030032 China

Growing demands for precise current measurements, such as atto-ampere-level measurement of cross-cellular biological current transduction, have spotlighted a pressing need for low-noise resistors with ultra-high resistance immune to voltage fluctuations. Traditional semi-insulating materials, however, struggle to provide consistent resistance across varying voltages. To bridge this gap, we introduce a design that integrates semi-insulating 4H-SiC with atomic-level metal oxide interlayers and electrodes. The strategic adjustment of surface states via atomic-scale metal oxide layers optimizes the work functions on 4H-SiC surfaces, validated through density functional theory simulations. This design transcends conventional limitations, establishing an ideal Ohmic behavior and maintains Peta-Ohm-level resistance, unaffected by voltage variations. These on-chip devices with fine-tuned resistance are compatible with integrated circuit manufacturing processes, making them ideally suited for applications in precision electronics. © 2024, CC BY-NC-ND.

关键词： Silicon carbide

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Techno-Economic Design and Optimal Operation of Active Radial Active Distribution Network Using Online Optimizer: Real Case Study in Sohag, Egypt 15th

Techno-Economic Design and Optimal Operation of Active Radia...

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15th International Conference on Natural Computation, Fuzzy systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019

作者： Shafik, M.B. Rashed, G.I. Chen, Hongkun Elkadeem, M.R. Wang, Shaorong School of Electrical Engineering and Automation Wuhan University Wuhan430072 China School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China Electrical Power System and Machines Department Faculty of Engineering Kafrelsheikh University Kafrelsheikh33516 Egypt

ISBN: (纸本)9783030324551

Continuous development in renewable resources technologies and a lot of trials to overcome integration problems to main grid or even work as isolated grid. Depending on region nature;renewables with grid can form hybrid renewable energy resources (HRERs) that can introduce economical, technical and environment friendly solutions for load supply. This research produces a framework to HRERs system from design plan to optimal operation for a real case study grid connected in Sohag-Egypt. This paper proposes set of simulators working in parallel;HOMER PRO software for techno-economic system electrification and NEPLAN software for system simulation both of them connected to C++ online optimizer to control all parameters for optimal operation. The optimal size and configuration of the hybrid system are determined based on different scenarios of hybridization of energy resources are studied and assessed considering technical, economic and environmental perspectives. The results indicate that the proposed hybrid Grid/PV/WT/Diesel system is founded as the most feasible economic solution for supplying the investigated area because it reaches the minimum net present cost (NPC) and cost of energy (COE) with the lowest levels of gases emissions and fuel consumption compared to the grid only feeding system. In addition, this hybrid system with soft open points (SOPs) potentially gets the minimum system losses to beside enhancing system voltage profile and lines loading reserve where it is working as an Active Distribution network (ADN). © Springer Nature Switzerland AG, 2020.

关键词： Hybrid systems

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