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Attention-Modulated Feature Fusion Neural Network for Inverse Modeling of Microwave Filters

IEEE Microwave and Wireless Technology Letters 2025年第4期35卷 376-379页

作者： Guo, Linwei Cao, Weihua Hu, Wenkai Lu, Zhengyang Wu, Min China University of Geosciences School of Automation Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

Inverse modeling is extensively applied in the design and tuning of microwave filters (MFs). Inverse models (IMs) take the features extracted from the high-dimensional electromagnetic parameters as input. How to make full use of features from multiple perspective is a critical issue for improving model accuracy. To solve it, this letter proposes an attention-modulated feature fusion neural network (AMFFNN). AMFFNN achieves multiperspective feature fusion (MPFF) at the input side and independent feature fusion (IFF) at the output side. In addition, feature fusion in AMFFNN is enhanced by attention modules to dynamically identify the importance of each feature. Statistical and comparative results of simulations demonstrate that AMFFNN outperforms existing methods in terms of accuracy, stability, and generalization. © 2023 IEEE.

关键词： Inverse problems

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Accurately predicting hypersonic transitional flow on cone via a symmetry approach

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Chinese Journal of Aeronautics 2023年第7期36卷 337-347页

作者： Weitao BI Kexin ZHENG Zhou WEI Zhensu SHE State Key Laboratory for Turbulence and Complex Systems and Department of Mechanics and Engineering Science College of EngineeringPeking UniversityBeijing 100871China State Key Laboratory of Aerodynamics and Computational Aerodynamics Institute China Aerodynamics Research and Development CenterMianyang 621000China

A new algebraic transition model is proposed based on a Structural Ensemble Dynamics(SED)theory of wall turbulence,for accurately predicting the hypersonic flow heat transfer on *** model defines the eddy viscosity in terms of a two-dimensional multi-regime distribution of a Stress Length(SL)function,and hence is named as *** paper presents clear evidence of precise predictions of transition onset location and peak heat flux of a wide range of hypersonic Transitional Boundary Layers(TrBL)around straight cone at zero incidence,to an unprecedented accuracy as validated by over 70 measurements for varying five crucial influential factors(Mach number,temperature ratio,cone half angle,nose Reynolds number and noise level).The results demonstrate the universality of the postulated multi-regime similarity structure,in characterizing not only the spatial non-uniform distribution of the eddy viscosity in hypersonic TrBL on cone,but also the dependence of the transition onset location on the five influential *** latter yields a novel correlation formula for transition center Reynolds number which takes similar functional form as the SL function within the symmetry *** is concluded that the SED-SL model simulates TrBL around cone with uniformly high accuracy,and then points out to an optimistic alternative way to construct hypersonic transition model.

关键词： Cones Heat flux Hypersonic boundary layers Transition flow Turbulence models

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Transformer-Based Macroscopic Regulation for High-Speed Railway Timetable Rescheduling

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IEEE/CAA Journal of Automatica Sinica 2023年第9期10卷 1822-1833页

作者： Wei Xu Chen Zhao Jie Cheng Yin Wang Yiqing Tang Tao Zhang Zhiming Yuan Yisheng Lv Fei-Yue Wang Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China Signal&Communication Research Institute China Academy Railway SciencesBeijing 100081China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China IEEE State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Macao Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China

Unexpected delays in train operations can cause a cascade of negative consequences in a high-speed railway *** such cases,train timetables need to be ***,timely and efficient train timetable rescheduling is still a challenging problem due to its modeling difficulties and low optimization *** paper presents a Transformer-based macroscopic regulation approach which consists of two stages including Transformer-based modeling and policy-based ***,the relationship between various train schedules and operations is described by creating a macroscopic model with the Transformer,providing the better understanding of overall operation in the high-speed railway ***,a policy-based approach is used to solve a continuous decision problem after macro-modeling for fast *** experiments on various delay scenarios are *** results demonstrate the effectiveness of the proposed method in comparison to other popular methods.

关键词： High-speed railway reinforcement learning train timetable rescheduling Transformer

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Distributed accelerated primal-dual neurodynamic approaches for resource allocation problem

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Science China(Technological Sciences) 2023年第12期66卷 3639-3650页

作者： ZHAO You HE Xing YU JunZhi HUANG TingWen College of Electronic and Information Engineering Southwest UniversityChongqing 400715China State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China Science Program Texas A&M University at QatarDoha 2387Qatar

This paper investigates two distributed accelerated primal-dual neurodynamic approaches over undirected connected graphs for resource allocation problems(RAP)where the objective functions are generally *** the help of projection operators,a primal-dual framework,and Nesterov's accelerated method,we first design a distributed accelerated primal-dual projection neurodynamic approach(DAPDP),and its convergence rate of the primal-dual gap is O(1/(t^(2)))by selecting appropriate parameters and initial ***,when the local closed convex sets are convex inequalities which have no closed-form solutions of their projection operators,we further propose a distributed accelerated penalty primal-dual neurodynamic approach(DAPPD)on the strength of the penalty method,primal-dual framework,and Nesterov's accelerated *** on the above analysis,we prove that DAPPD also has a convergence rate O(1/(t^(2)))of the primal-dual *** with the distributed dynamical approaches based on the classical primal-dual framework,our proposed distributed accelerated neurodynamic approaches have faster convergence *** simulations demonstrate that our proposed neurodynamic approaches are feasible and effective.

关键词： accelerated primal-dual neurodynamic approaches RAP projection operators penalty method convergence rate O(1/(t^(2)))

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Understanding the Thermal Impedance of Silicone Rubber/Hexagonal Boron Nitride Composites as Thermal Interface Materials

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Chinese Journal of Polymer Science 2024年第3期42卷 352-363,I0008页

作者： Yuan Ji Shi-Da Han Hong Wu Shao-Yun Guo Feng-Shun Zhang Jian-Hui Qiu The State Key Laboratory of Polymer Materials Engineering Sichuan Provincial Engineering Laboratory of Plastic/Rubber Complex Processing TechnologyPolymer Research InstituteSichuan UniversityChengdu 610065China Institute of Chemical Materials China Academy of Engineering PhysicsMianyang 621900China Department of Mechanical Engineering Faculty of Systems Science and TechnologyAkita Prefectural UniversityAkita 015-0055Japan

Silicone rubber(SR) composites are most widely used as thermal interface materials(TIMs) for electronics heat dissipation. Thermal impedance as the main bottleneck limiting the performance of TIMs is usually neglected. Herein, the thermal impedance of SR composites loaded with different levels of hexagonal boron nitride(h-BN) as TIMs was elaborated for the first time by the ASTM D 5470 standard test and finite element analysis. It was found that elastic modulus and surface roughness of SR composites increased with the increase of h-BN content, indicating that the conformity was reduced. When the assembly pressure was 0.69 MPa, there existed an optimal h-BN content at which the contact resistance was minimum(0.39 K·cm^(2)·W^(-1)). Although the decreased bond line thickness(BLT) by increasing the assembly pressure was beneficial to reduce the thermal impedance, the proper assembly pressure should be selected to prevent the warpage of the contact surfaces and the increase in contact resistance, according to the compression properties of the SR composites. This study provides valuable insights into fabrication of high-performance TIMs for modern electronic device applications.

关键词： Thermal interface materials Hexagonal boron nitride Thermal impedance Surfaces

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Elderly Pedestrian-Crossing Strategy When Perceiving an Autonomous Vehicle in a Shared Space 4

Elderly Pedestrian-Crossing Strategy When Perceiving an Auto...

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4th IEEE International Conference on Human-Machine systems, ICHMS 2024

作者： Dong, Yichen Andrijanto Yano, Hiroaki Itoh, Makoto University Of Tsukuba Degree Program Of Risk And Resilience Engineering Tsukuba Japan Institute Of Systems And Information Engineering University Of Tsukuba Tsukuba Japan University Of Tsukuba Institute Of Systems And Information Engineering Center For Artificial Intelligence Research Tsukuba Japan

ISBN: (纸本)9798350315790

This study clarified a pedestrian crossing strategy for elderly Japanese pedestrians when perceiving an autonomous vehicle in a shared space by eliminating road features. Crossing strategy is the basis of pedestrian crossing behavior, and this study distinguishes two types of crossing strategies: conservative and aggressive. We proposed a process for pedestrians who use a strategy to cross the road. Experimental data collected in a virtual reality facility were analyzed to investigate pedestrian-crossing strategies. The variables contributing to the pedestrian crossing behavior and crossing strategy selection were explored. The results indicated that the proposed crossing strategy predicted the observed behaviors of the participants. Pedestrian crossing behavior is influenced by gender, age, and vehicle speed. Higher vehicle speed and pedestrian age lead to pedestrians increasing their crossing time and selecting a conservative walking strategy. The study also showed that males selected an aggressive strategy more frequently than females and that males needed more time to cross the road than females. © 2024 IEEE.

关键词： Crosswalks

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Electric Field Modulated Drop Formation from Orifices 2nd

Electric Field Modulated Drop Formation from Orifices

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2nd International Conference on Recent Advancements in Mechanical engineering, ICRAME 2021

作者： Borthakur, Manash P. Chakravarthy, Subhasis Institute for Complex Systems National Research Council Rome Italy Department of Mechanical Engineering NIT Silchar Silchar India

ISBN: (纸本)9789811932656

We investigate the effect of an electric field on the formation and breakup of droplets by employing axisymmetric numerical simulations. The volume-of-fluid approach is used for capturing the interface motion, and the fluids are assumed as leaky dielectric. The simulations reveal that the droplets formed can be either oblate or prolate in shape, which is determined by the relative dissimilarity of fluid properties across the interface. The Coulombic forces are found to be the dominant electrical forces that influence the droplet morphology. Additionally, the nature of circulatory flow occurring inside the drop can be significantly different, depending on the relative combination of the electrical properties of the drop and surrounding fluids. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Electrohydrodynamics

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Group Hybrid Coordination Control of Multi-Agent systems With Time-Delays and Additive Noises

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IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 737-748页

作者： Chuanjian Li Xiaofeng Zong School of Automation China University of GeosciencesWuhan 430074 Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074 the Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China IEEE

A new kind of group coordination control problemgroup hybrid coordination control is investigated in this *** group hybrid coordination control means that in a whole multi-agent system(MAS)that consists of two subgroups with communications between them,agents in the two subgroups achieve consensus and containment,*** MASs with both time-delays and additive noises,two group control protocols are proposed to solve this problem for the containment-oriented case and consensus-oriented case,*** developing a new analysis idea,some sufficient conditions and necessary conditions related to the communication intensity betw een the two subgroups are obtained for the following two types of group hybrid coordination behavior:1)Agents in one subgroup and in another subgroup achieve weak consensus and containment,respectively;2)Agents in one subgroup and in another subgroup achieve strong consensus and containment,*** is revealed that the decay of the communication impact betw een the two subgroups is necessary for the consensus-oriented ***,the validity of the group control results is verified by several simulation examples.

关键词： Additive noises consensus control containment control group hybrid coordination control multi-agent systems(MASs) time-delays

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Time-varying formation-containment control for heterogeneous multi-agent systems with communication and output delays via observer-based feedback protocol

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IEEE Transactions on Automation Science and engineering 2025年 22卷 15435-15448页

作者： Yang, Yi He, Yong China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China

In this article, the time-varying formation-containment control problem of heterogeneous multi-agent systems (MASs) with an observer-based state feedback protocol is studied, where both communication delays and output delays are taken into consideration. By introducing an augmented Lyapunov-Krasovskii functionals (LKFs) candidate and employing less conservative methods to estimate its derivative, an improved quasi-formation-containment criterion is derived. On this basis, some observers and controllers are designed to allow for a larger maximum upper bound (MUB) of time delays on the premise of guaranteeing the fulfillment of the time-varying formation of leaders and the bounded convergence of followers. The estimation of the MUB determines the allowable delay range for system stability under the designed observers and controllers. Moreover, a distributed algorithm is developed to calculate the MUB of time delays, the observer gains, and the controller gains. Finally, two simulation experiments are implemented to demonstrate the obtained results, which verify the superiority and practicability of the criterion and algorithm. © 2004-2012 IEEE.

关键词： State feedback

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Wind Speed Forecasting for Wind Turbines Using Attention-Based Machine Learning Models

Wind Speed Forecasting for Wind Turbines Using Attention-Bas...

引用

2024 IEEE International Women in engineering (WIE) Conference on Electrical and Computer engineering, WIECON-ECE 2024

作者： Anubhove, Md.Sadik Tasrif Ahmed, S. M. Masum Zeyad, Mohammad Aka, Asmay Ajma Khanam Faculty of Complex Systems Engineering Lorient France Heriot-Watt University Edinburgh United Kingdom Energy and Technology Research Division Abcd Laboratory Bangladesh Chattogram Bangladesh

ISBN: (纸本)9798331535476

Renewable energy is essential for humanity to decrease fossil fuel usage and reduce GHG emissions. There are several Renewable Energy Sources (RESs) available including solar, wind, biomass, tidal, wave, and geothermal;among them, wind energy is regarded as one of the most dependable. Thus, forecasting wind speed is essential for energy production companies or prosumers to determine potential wind energy production, however, this forecasting process is significantly complex. Several approaches have been found in the literature, including Temporal Convolutional Network (TCN), GRUs, and LSTM. Also, the self-attention mechanism is quite essential to support other models by reducing the dependency on external information and analyzing input and hidden features information provides better result. Therefore, this research aims to forecast wind speed from historical seasonal data by proposing a Temporal Convolutional Attention Network (TCAN) based on self-attention and comparing it with LSTM-Attention (LSTMA) and GRU-Attention (GRUA). More specifically, to evaluate the proposed TCAN model results, LSTMA and GRUA using self-attention are constructed and the efficiency of each model is explained and compared based on MAE, RMSE, and MAPE values. To conduct the analysis, a case study is chosen for the analysis in Bangladesh named Hatia Island which is also a coastal area. NASA POWER dataset is utilized for a period of 12 months. TCAN provides improved outcomes compared to LSTMA and GRUA throughout the summer, fall, late autumn, winter, and spring seasons, whereas GRUA demonstrates somewhat higher performance in the rainy season. © 2024 IEEE.

关键词： Wind forecasting

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