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2025 IEEE Texas Power and Energy Conference, TPEC 2025

作者： Yousefpour, Kamran Yousefpour, Mohammad Molla, Seyyed Javad Hosseini Andani, Mansour Taheri Varnousdaderani, Sepideh Alaei Andani, Hamid Taheri Mississippi State University Department of Electrical and Computer Engineering United States Azad University Iran Babol Noshirvani University of Technology Department of Electrical and Computer Engineering Iran School of Manufacturing Systems and Networks Arizona State University United States Azad University Department of Computer Engineeering Iran Isfahan University of Technology Department of Electronic Engineering Iran

ISBN: (纸本)9798331541125

This paper presents the design and simulation of a single-phase grid-connected inverter control system, focusing on enhancing power quality and dynamic performance. The control system comprises a resonant controller for real and reactive power regulation, ensuring sinusoidal current injection into the grid. Additionally, a Phase-Locked Loop (PLL) is incorporated to improve synchronization with the grid voltage, generating accurate reference signals for current control and mitigating harmonic disturbances. The PLL design leverages specific gain parameters, μ1,μ2, and μ3, optimized for a critically damped response. A comprehensive simulation study evaluates the system's performance under different conditions, including soft-start operation, transient power commands, and grid voltage distortion with low-order harmonics (Sth, 7th, LIth, and 13th). Results highlight the system's robust dynamic response, low total harmonic distortion (THD), and effective harmonic attenuation, demonstrating its suitability for grid-connected distributed energy resource (DER) applications. This work provides a scalable and reliable control framework for next-generation inverter systems operating in modern, complex grid environments. © 2025 IEEE.

关键词： Harmonic distortion

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Transfer of 2D Films: From Imperfection to Perfection

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ACS Nano 2024年第23期18卷 14841-14876页

作者： Pham, Phuong V. Mai, The-Hung Dash, Saroj P. Biju, Vasudevanpillai Chueh, Yu-Lun Jariwala, Deep Tung, Vincent Department of Physics National Sun Yat-sen University Kaohsiung80424 Taiwan Department of Microtechnology and Nanoscience Chalmers University of Technology Gothenburg41296 Sweden Research Institute for Electronic Science Hokkaido University Hokkaido001-0020 Japan Department of Materials Science and Engineering National Tsing Hua University Hsinchu30013 Taiwan Department of Electrical and Systems Engineering University of Pennsylvania PhiladelphiaPA19104 United States Department of Chemical System Engineering School of Engineering The University of Tokyo Tokyo113-8656 Japan

Atomically thin 2D films and their van der Waals heterostructures have demonstrated immense potential for breakthroughs and innovations in science and technology. Integrating 2D films into electronics and optoelectronics devices and their applications in electronics and optoelectronics can lead to improve device efficiencies and tunability. Consequently, there has been steady progress in large-area 2D films for both front- and back-end technologies, with a keen interest in optimizing different growth and synthetic techniques. Parallelly, a significant amount of attention has been directed toward efficient transfer techniques of 2D films on different substrates. Current methods for synthesizing 2D films often involve high-temperature synthesis, precursors, and growth stimulants with highly chemical reactivity. This limitation hinders the widespread applications of 2D films. As a result, reports concerning transfer strategies of 2D films from bare substrates to target substrates have proliferated, showcasing varying degrees of cleanliness, surface damage, and material uniformity. This review aims to evaluate, discuss, and provide an overview of the most advanced transfer methods to date, encompassing wet, dry, and quasi-dry transfer methods. The processes, mechanisms, and pros and cons of each transfer method are critically summarized. Furthermore, we discuss the feasibility of these 2D film transfer methods, concerning their applications in devices and various technology platforms. © 2024 The Authors. Published by American Chemical Society.

关键词： Chemical vapor deposition

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Reference Model Design in Multiple Timescale Adaptive Control

Reference Model Design in Multiple Timescale Adaptive Contro...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Eves, Kameron Valasek, John Electrical and Computer Engineering Engineering Department Utah Tech University Saint GeorgeUT84770 United States Vehicle Systems and Control Laboratory Aerospace Engineering Department Texas A and M University College StationTX77843-3141 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

The method [K]control of Adaptive Multiple-timescale systems (KAMS) has been used as a method of adaptive control for systems with states that evolve at vastly different rates and with uncertain parameters. Prior research on KAMS has shown a relationship between the asymptotic behavior of the reference models and the behavior of the full-order closed-loop system. Poor reference model design can cause steady-state error or instability even if that reference model is acceptable in a single timescale context, due to adverse feedback between the reference models and the fast-state manifold. This paper simplifies KAMS control design and provides insight into multiple timescale reference models by identifying design considerations for the fast and slow reference models. For fast reference models, it is shown that the stability proofs used in KAMS control design necessarily require the manifold to be an asymptotically stable equilibrium of the fast reference model, despite prior work that allowed other possibilities. In the case of a slow reference model that is not asymptotically stable to its reference signal, it is common for the inner connection conditions to be dependent on the reference signal. This can cause the interconnection conditions to be ill-formatted for the application of the stability proofs used in KAMS control design. This paper addresses that case and proposes the use of Raffoul’s condition as a method to prove stability in the sense of Lyapunov. A linear quadrotor attitude stabilization problem is used as a framework for the slow reference model analysis. Results presented in the paper show that 1) the asymptotic stability of the fast reference model is a necessary condition for the KAMS stability proofs used in prior work and 2) Raffoul’s condition is a sufficient condition for Lyapunov sense stability even when the inner connection conditions are ill-formatted for the KAMS stability proofs used in prior work. © 2025, American Institute of Aeronautics

关键词： Model reference adaptive control

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Adaptive-Optimal Control for Reconfigurable Robots

Adaptive-Optimal Control for Reconfigurable Robots

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2023 IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2023

作者： Maheshwari, Adya Rautela, Aaditya Rayguru, Madan Mohan Valluru, Sudarshan K. Delhi Technological University Department of Electrical Engineering New Delhi India Delhi Technological University Control of Dynamical Systems and Computation Laboratory Department of Electrical Engineering New Delhi India

ISBN: (纸本)9781665474924

Reconfigurable robots refer to the robotic systems which have the ability to transform their morphological structure to adapt to changes in their surroundings. A specialized control system based upon the dynamic characteristics is required to be modelled so that a vast range of operations can be performed by the reconfigurable robots. Reinforcement learning based technique is therefore considered as a suitable mechanism for carrying out adaptive optimal control for the robotic systems. In this paper, an attempt has been made to model the adaptive optimal control mechanism for a single-link manipulator: a reconfigurable robotic system. The system has been modelled for a dynamic environment. The loss and reward plots are obtained from the simulation of the robotic system by deploying reinforcement learning based techniques with the given controlled input © 2023 IEEE.

关键词： Reinforcement learning

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Contrast Enhancement and ROI detection in satellite images Application to the environment and sustainable development 8

Contrast Enhancement and ROI detection in satellite images A...

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8th IEEE International Conference on Image and Signal Processing and their Applications, ISPA 2024

作者： Mehidi, Aicha Mimi, Malika Mehidi, Abdallah Zehani, Soraya Faculty of Sciences and Technology Laboratory of Signals and Systems Electrical Engineering Department University of Abdelhamid Ibn Badis Mostaganem Algeria University of Abdelhamid Ibn Badis Laboratory of Signals and Systems Faculty of Sciences and Technology Mostaganem Algeria Faculty of Sciences and Technology Laboratory of Vision and Communication Systems University of Biskra Electrical Engineering Department Algeria

ISBN: (纸本)9798350309249

During the last few years, remote sensing is considerably used for Earth observation for the environment and sustainable development. The temporal classes of satellite images provide better information for monitoring the earth's surface at different scales;therefore these images are becoming a very relevant opportunity of investigating. The numerical analyses of image processing are based on the artificial intelligence (AI) tool rather than the traditional methods. The environmental indicators from these images offer very important statistics, the carried out work of dynamic phenomena, the observation event and interpretation of evolving circumstances like: atmospheric conditions, crises and natural disasters taking the opportunity to be studied, several problems come out of deforestation and monitoring of water resources (water bodies). The purpose of this study is focused on drawing out details from the database used and then to give an offer for a texture analysis strategy. Firstly, using specific development and then developing the existing software in the second hand. This work is to establish an algorithm for the detection of region of interest (water body) which is based on the theory of fuzzy logic and the hypothesis of Fuzzy C-Means. © 2024 IEEE.

关键词： Sustainable development

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A Federated-ANFIS for Collaborative Intrusion Detection in Securing Decentralized Autonomous Organizations

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IEEE Transactions on engineering Management 2024年 71卷 12529-12541页

作者： Tsang, Yung Po Wu, Chun Ho Dong, Na The Hong Kong Polytechnic University Department of Industrial and Systems Engineering Hong Kong SAR Hong Kong The Hang Seng University of Hong Kong Department of Supply Chain and Information Management Hong Kong SAR Hong Kong Tianjin University School of Electrical and Information Engineering Tianjin300072 China

Blockchain has facilitated the emergence of automation and decentralization concepts, leading to significant organizational and operational changes in businesses, e.g., decentralized autonomous organizations (DAOs). In DAOs, management decisions are made collectively and automatically through smart contracts without a central authority, which results in increased cybersecurity requirements. While blockchain integration aims to eliminate single points of failure and enhance data integrity, DAOs remain susceptible to vulnerabilities in consensus mechanisms, key management, and software management, highlighting the need for intrusion detection. Collaborative intrusion detection has been identified as a potential solution to address emerging cyberattacks in a decentralized environment;however, it is not yet fully developed. This study proposes a federated adaptive neuro-fuzzy inference system (FANFIS) for collaborative intrusion detection in blockchain-Internet-of-Things (IoT) networks. The FANFIS maintains a global intrusion detection model in a privacy-preserving manner over the network. Through computational experiments with datasets of KDDCUP99 and Bot-IoT, we found that using the FANFIS reduced the computational time for model training by an average of 49.42% while maintaining a high-performance level. The superior performance of the FANFIS, as demonstrated by its accuracy, precision, and F1-score, surpasses the conventional method involving data centralization, exhibiting mean percentage errors of 1.4092%, 2.6935%, and 1.3463%, respectively. © 1988-2012 IEEE.

关键词： Blockchain

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Dynamic Evolutionary Game-based Modeling,Analysis and Performance Enhancement of Blockchain Channels

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 188-202页

作者： PeiYun Zhang MengChu Zhou ChenXi Li Abdullah Abusorrah IEEE the School of Computer Science Nanjing University of Information Science&TechnologyNanjing 210044China the Helen and John C.Hartmann Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA the School of Computer and Information Anhui Normal UniversityWuhu 241003China the Department of Electrical and Computer Engineering Faculty of Engineeringand Center of Research Excellence in Renewable Energy and Power SystemsKing Abdulaziz UniversityJeddah 21481Saudi Arabia

The recent development of channel technology has promised to reduce the transaction verification time in blockchain *** transactions are transmitted through the channels created by nodes,the nodes need to cooperate with each *** one party refuses to do so,the channel is unstable.A stable channel is thus *** nodes may show uncooperative behavior,they may have a negative impact on the stability of such *** order to address this issue,this work proposes a dynamic evolutionary game model based on node *** model considers various defense strategies'cost and attack success ratio under *** can dynamically adjust their strategies according to the behavior of attackers to achieve their effective *** equilibrium stability of the proposed model can be *** proposed model can be applied to general channel *** is compared with two state-of-the-art blockchain channels:Lightning network and Spirit *** experimental results show that the proposed model can be used to improve a channel's stability and keep it in a good cooperative stable *** its use enables a blockchain to enjoy higher transaction success ratio and lower transaction transmission delay than the use of its two peers.

关键词： Blockchain channel network evolutionary game malicious behavior secure computing stability analysis

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A Universal Platform for Exceptional-Point Enhanced Optical Sensing

A Universal Platform for Exceptional-Point Enhanced Optical ...

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Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023

作者： Mao, Wenbo Fu, Zhoutian Li, Yihang Yang, Lan Department of Electrical and Systems Engineering Washington University St LouisMO63130 United States

We demonstrated a universal exceptional-point (EP)-enhanced sensing platform. Conventional sensors are connected to an EP control unit through a waveguide. The nonlinear response at EPs to phase perturbations of a sen... 详细信息

ISBN: (纸本)9781957171296

关键词： Biomedical imaging Optical components Optical sensing Refractive index Ring resonators Sensors

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Polynomial Fuzzy Observer-Based Feedback Control for Nonlinear Hyperbolic PDEs systems

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IEEE Transactions on Cybernetics 2024年第9期54卷 5257-5269页

作者： Tsai, Shun-Hung Lee, Wen-Hsin Tanaka, Kazuo Chen, Ying-Jen Lam, Hak-Keung National Sun Yat-sen University Department of Electrical Engineering Kaohsiung80424 Taiwan Graduate Institute of Automation Technology National Taipei University of Technology Taipei10608 Taiwan The University of Electro-Communications Department of Mechanical Engineering and Intelligent Systems Tokyo182-8585 Japan Yuan Ze University Department of Electrical Engineering Taoyuan City32003 Taiwan King's College London Department of Engineering LondonWC2R 2LS United Kingdom

This article explores the observer-based feedback control problem for a nonlinear hyperbolic partial differential equations (PDEs) system. Initially, the polynomial fuzzy hyperbolic PDEs (PFHPDEs) model is established through the utilization of the fuzzy identification approach, derived from the nonlinear hyperbolic PDEs model. Various types of state estimation and controller design problems for the polynomial fuzzy PDEs system are discussed concerning the state estimation problem. To investigate the relaxed stability problem, Euler's homogeneous theorem, Lyapunov-Krasovskii functional with polynomial matrices (LKFPM), and the sum-of-squares (SOSs) approach are adopted. The exponential stabilization condition is formulated in terms of the spatial-derivative-SOSs (SD-SOSs). Additionally, a segmental algorithm is developed to find the feasible solution for the SD-SOS condition. Finally, a hyperbolic PDEs system and several numerical examples are provided to illustrate the validity and effectiveness of the proposed results. © 2013 IEEE.

关键词： Stability criteria

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Performance Improvement of Very Short-term Prediction Intervals for Regional Wind Power Based on Composite Conditional Nonlinear Quantile Regression

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Journal of Modern Power systems and Clean Energy 2022年第1期10卷 60-70页

作者： Yan Zhou Yonghui Sun Sen Wang Rabea Jamil Mahfoud Hassan Haes Alhelou Nikos Hatziargyriou Pierluigi Siano College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China Department of Electrical Engineering Tishreen UniversityLatakia 2230Syria National Technical University of Athens Athens 15773Greece Department of Management&Innovation Systems University of SalernoSalerno 84084Italy

Accurate regional wind power prediction plays an important role in the security and reliability of power *** the performance improvement of very short-term prediction intervals(PIs),a novel probabilistic prediction method based on composite conditional nonlinear quantile regression(CCNQR)is ***,the hierarchical clustering method based on weighted multivariate time series motifs(WMTSM)is studied to consider the static difference,dynamic difference,and meteorological difference of wind power time ***,the correlations are used as sample weights for the conditional linear programming(CLP)of *** optimize the performance of PIs,a composite evaluation including the accuracy of PI coverage probability(PICP),the average width(AW),and the offsets of points outside PIs(OPOPI)is used to quantify the appropriate upper and lower ***,the adaptive boundary quantiles(ABQs)are quantified for the optimal performance of ***,based on the real wind farm data,the superiority of the proposed method is verified by adequate comparisons with the conventional methods.

关键词： Regional wind power probabilistic prediction nonlinear quantile regression composite evaluation adaptive boundary quantiles

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