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Customizable multifunctional metasurface absorber based on bidirectional deep neural networks covering the quasi-entire terahertz band

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Chinese Optics Letters 2024年第6期22卷 182-190页

作者： Zhipeng Ding Wei Su Lipeng’an Ye Yuanhang Zhou Wenlong Li Riaz Ali Bin Tang Hongbing Yao College of Mechanics and Engineering Science Hohai UniversityNanjing 211100China School of Microelectronics and Control Engineering Changzhou UniversityChangzhou 213164China

In this work, we propose a novel approach that combines a bidirectional deep neural network(BDNN) with a multifunctional metasurface absorber(MMA) for inverse design, which can effectively address the challenge of on-demand customization for absorbers. The inverse design of absorption peak frequencies can be achieved from 0.5 to 10 terahertz(THz), covering the quasi-entire THz band. Based on this, the BDNN is extended to broadband absorption, and the inverse design yields an MMA at the desired frequency. This work provides a broadly applicable approach to the custom design of multifunctional devices that can facilitate the evaluation and design of metasurfaces in electromagnetic absorption.

关键词： terahertz inverse design bidirectional deep neural network metasurface

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Coverage control for Multi-Agent Systems via Curve Arc Length

Coverage Control for Multi-Agent Systems via Curve Arc Lengt...

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2024 China Automation Congress, CAC 2024

作者： Yang, Kaiqi Wang, Xiaoli Yang, Hengyu Xie, Wei Department of Control Science and Engineering Harbin Institute of Technology Harbin China School of Information Science and Engineering Harbin Institute of Technology at Weihai Weihai China School of Aeronautics and Astronautics Tiangong University Tianjin China

ISBN: (纸本)9798350368604

In complex environments, effective and comprehensive information gathering necessitates the strategic deployment of multi-agent systems. Corridor-type regions, characterized as non-convex areas, present substantial challenges in formulating coverage control strategies. To tackle this issue, this paper proposes a novel coverage control methodology for multi-agent systems based on partitioning the coverage area using curve arc lengths. Firstly, the coverage areas for each team is segmented into sequentially arranged subregions based on curve arc lengths. Through adjustments in the virtual leading agent’s position, the range of curve arc lengths for each team’s coverage areas is dynamically managed. Then, a distributed coverage controller is developed for agents, which integrates the movement status of virtual leading agents to guide agents towards the centroid positions of their respective coverage areas. Finally, numerical simulations affirm the efficacy of the proposed coverage control approach. © 2024 IEEE.

关键词： Multi agent systems

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Prediction of single cell mechanical properties in microchannels based on deep learning

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Applied Mathematics and Mechanics(English Edition) 2024年第11期45卷 1857-1874页

作者： Jiajie GONG Xinyue LIU Yancong ZHANG Fengping ZHU Guohui HU Shanghai Institute of Applied Mathematics and Mechanics School of Mechanics and Engineering ScienceShanghai Frontier Science Center of MechanoinformaticsShanghai Key Laboratory of Mechanics in Energy EngineeringShanghai UniversityShanghai200072China Shanghai Institute of Aircraft Mechanics and Control Shanghai200092China Department of Neurosurgery Huashan HospitalShanghai Medical CollegeFudan UniversityShanghai200040China

Traditional methods for measuring single-cell mechanical characteristics face several challenges,including lengthy measurement times,low throughput,and a requirement for advanced technical *** overcome these challenges,a novel machine learning(ML)approach is implemented based on the convolutional neural networks(CNNs),aiming at predicting cells'elastic modulus and constitutive equations from their deformations while passing through micro-constriction *** the present study,the computational fluid dynamics technology is used to generate a dataset within the range of the cell elastic modulus,incorporating three widely-used constitutive models that characterize the cellular mechanical behavior,i.e.,the Mooney-Rivlin(M-R),Neo-Hookean(N-H),and Kelvin-Voigt(K-V)*** this dataset,a multi-input convolutional neural network(MI-CNN)algorithm is developed by incorporating cellular deformation data as well as the time and positional *** approach accurately predicts the cell elastic modulus,with a coefficient of determination R^(2)of 0.999,a root mean square error of 0.218,and a mean absolute percentage error of 1.089%.The model consistently achieves high-precision predictions of the cellular elastic modulus with a maximum R^(2)of 0.99,even when the stochastic noise is added to the simulated *** significant feature of the present model is that it has the ability to effectively classify the three types of constitutive equations we *** model accurately and reliably predicts single-cell mechanical properties,showcasing a robust ability to *** demonstrate that incorporating deformation features at multiple time points can enhance the algorithm's accuracy and *** algorithm presents a possibility for high-throughput,highly automated,real-time,and precise characterization of single-cell mechanical properties.

关键词： cell deformation single-cell mechanics machine learning(ML) constitutive law convolutional neural network(CNN)

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A Data-Driven Adaptive Optimal control with Input Saturation for Driverless Heavy-Duty Truck

A Data-Driven Adaptive Optimal Control with Input Saturation...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Ji, Honghai Yang, Jianfeng Liu, Shida Fan, Lingling Wang, Li School of Electrical and Control Engineering North China University of Technology Beijing100144 China School of Automation Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9789819639687

This paper mainly studies the longitudinal speed tracking problem of driverless heavy-duty trucks based on data-driven methods. A data-driven adaptive optimal control algorithm with control input saturation constraints is proposed in this paper to solve the problems of control input saturation and difficulty in establishing an accurate model in driverless heavy-duty truck systems. First, control constraints are added to the control input saturation problem of driverless heavy-duty trucks. Then, the dynamic linearization technology is used to model the nonlinear system of driverless heavy-duty trucks. After that, an appropriate index function is selected and the Newton-type optimization method is used to obtain the optimal controller. The method proposed in this paper only uses a small amount of input and output data and does not need to establish an accurate mathematical model. The simulation results show that compared with the PID algorithm, the proposed algorithm has advantages in speed tracking when applied to driverless heavy-duty truck systems. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Automobiles

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Service Robot Active Object Detection based on Spatial Exploration using Deep Recurrent Q-learning Network

Service Robot Active Object Detection based on Spatial Explo...

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2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023

作者： Yang, Ning Lu, Fei Yu, BoYuan Yao, FuJing Zhang, DeYuan Tian, GuoHui Shandong University School of Control Science and Engineering China Case Western Reserve University United States

ISBN: (纸本)9798350325706

Active object detection (AOD) allows robot to approach target object smoothly, but previous studies have assumed that the robot can always see the object from the start. This study introduces a new AOD model that can learn to spatial explore from any position to complete AOD task using a deep recurrent Q-learning network (DRQN). The model combines historical with current state information to accurately predict the action that should be performed at the current moment. This study also introduces a new reward function and termination condition for AOD task to ensure task completion rates and efficiency. This approach has been validated on an active vision dataset (AVD), demonstrating that service robot can actively complete AOD task from random positions through spatial exploration. Our approach has also been found to be superior to other methods. © 2023 IEEE.

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Integration of Bio-Enzyme-Treated Super-Wood and AIE-Based Nonwoven Fabric for Efficient Evaporating the Wastewater with High Concentration of Ammonia Nitrogen

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Nano-Micro Letters 2025年第8期17卷 1-16页

作者： Qian Ding Bingqi Jin Yinxia Zheng Huiru Zhao Jun Wang Haoxuan Li Dong Wang Ben Zhong Tang Engineering Research Center of Technical Textiles Ministry of EducationCollege of Materials Science and EngineeringDonghua UniversityShanghai 201620People’s Republic of China State Key Laboratory of Pollution Control and Resources Reuse School of Environmental Science and EngineeringTongji UniversityShanghai 200092People’s Republic of China Nonwoven Technology Laboratory College of Textile Science and EngineeringJiangnan UniversityWuxi 214122People’s Republic of China Centre for AIE Research Shenzhen Key Laboratory of Polymer Science and TechnologyGuangdong Research Center for Interfacial Engineering of Functional MaterialsCollege of Material Science and EngineeringShenzhen UniversityShenzhen 518061People’s Republic of China School of Science and Engineering Shenzhen Institute of Aggregate Science and TechnologyThe Chinese University of Hong KongShenzhen(CUHK-Shenzhen)Shenzhen 518172People’s Republic of China

The treatment of ammonia nitrogen wastewater(ANW)has garnered significant attention due to the ecology,and even biology is under increasing threat from over discharge *** ANW treatment methods often encounter challenges such as complex processes,high costs and secondary *** progress has been made in employing solar-induced evaporators for wastewater ***,there remain notable barriers to transitioning from fundamental research to practical applications,including insufficient evaporation rates and inadequate resistance to ***,we propose a novel evaporator,which comprises a bio-enzyme-treated wood aerogel that serves as water pumping and storage layer,a cost-effective multi-walled carbon nanotubes coated hydrophobic/hydrophilic fibrous nonwoven mat functioning as photothermal evaporation layer,and aggregation-induced emission(AIE)molecules incorporated as anti-biofouling *** resultant bioinspired evaporator demonstrates a high evaporation rate of 12.83 kg m^(−2) h^(−1) when treating simulated ANW containing 30 wt%NH4Cl under 1.0 sun of ***-doped evaporator exhibits remarkable photodynamic antibacterial activity against mildew and bacteria,ensuring outstanding resistance to biofouling over extended periods of wastewater *** enhanced by natural wind under 1.0 sun irradiation,the evaporator achieves an impressive evaporation rate exceeding 20 kg m^(−2) h^(−1) .This advancement represents a promising and viable approach for the effective removal of ammonia nitrogen wastewater.

关键词： Wood aerogel AIE Anti-biofouling Solar-driven interface evaporation Ammonia nitrogen wastewater treatment

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Distributed Adaptive Coordination control for Autonomous Road Traffic at Multiple Intersections

Distributed Adaptive Coordination Control for Autonomous Roa...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Ji, Honghai Shi, Qirui Liu, Shida Fan, Lingling wang, Li School of Electrical and Control Engineering North China University of Technology Beijing100144 China School of Automation Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9789819639724

As societal demands on traffic control increase, traditional model-based traffic control methods are showing their limitations. This paper introduces a Distributed Adaptive Coordination control (DACC) algorithm, which integrates data-driven control and multi-agent systems, aimed at optimizing traffic signal control across multiple intersections to effectively balance queuing times. Through joint simulation experiments with SUMO and Python, and comparison with the Proportional-Integral-Derivative Coordination control (PIDCC) algorithm, the DACC algorithm has demonstrated advantages in reducing average queuing times and improving traffic flow efficiency. The results indicate that the DACC algorithm excels in managing traffic flow variations. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Traffic signals

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Dynamic Quantized control of Fuzzy Semi-Markov Jump Systems With Fading Channels: An Improved Event-Triggered Mechanism

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3519-3531页

作者： Hu, Meng-Jie Park, Ju H. Cheng, Jun Wang, Yan-Wu China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China Yeungnam University Department of Electrical Engineering Gyeongsan38541 Korea Republic of Guangxi Normal University School of Mathematics and Statistics Guilin541006 China Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China

This article focuses on the dynamic quantized control for Takagi-Sugeno fuzzy semi-Markov jump systems (T-S FSMJSs) under fading channels and deception attacks, employing an improved event-triggered mechanism (ETM) strategy. Specifically, a more generalized semi-Markov process (SMP) that is governed by a higher-level deterministic switching signal (HLDSS) is addressed. A novel dynamic ETM is skillfully developed based on the information of quantization and two internal dynamic adjusting variables to further enhance the network bandwidth utilization. The dual asynchronous phenomenon between the plant and controller (asynchronous modes and mismatched premise variables) is addressed. This implies that the designed controller is not required to share the same membership functions and modes as the plant, establishing a more rational structure. The hidden semi-Markov model (HSMM) is attained to characterize the stochastic varying channel fading amplitudes. The Lyapunov function incorporating mode and fuzzy information is constructed to establish sufficient criteria ensuring the strictly dissipative performance and mean-square exponential stability (MSES) of the resulting closed-loop systems, and a new security fuzzy dual asynchronous controller is then developed. Finally, the efficacy and applicability of the results are demonstrated through numerical and practical examples. © 2025 IEEE.

关键词： Membership functions

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Achieving high ductility and low in-plane anisotropy in magnesium alloy through a novel texture design strategy

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Journal of Magnesium and Alloys 2024年第7期12卷 2863-2873页

作者： Shi Liu Cheng Wang Hong Ning Zhao-Yuan Meng Kai Guan Hui-Yuan Wang State Key Laboratory of Automotive Simulation and Control Jilin UniversityPR China Key Laboratory of Automobile Materials of Ministry of Education&School of Materials Science and Engineering Nanling CampusJilin UniversityNo.5988 Renmin StreetChangchun130025 PR China State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Material Science and EngineeringHebei University of TechnologyTianjin300130 PR China

Texture regulation is a prominent method to modify the mechanical properties and anisotropy of magnesium *** this work,the Mg-1Al-0.3Ca-0.5Mn-0.2Gd(wt.%)alloy sheet with TD-tilted and circular texture was fabricated by unidirectional rolling(UR)and multidirectional rolling(MR)method,*** generating a strong in-plane mechanical anisotropy in conventional TD-tilted texture,the novel circular texture sample possessed a weak in-plane yield *** can be rationalized by the similar proportion of soft grains with favorable orientation for basalslip and{10.12}tensile twinning during the uniaxial tension of circular-texture sample along different ***,compared with the TD-tilted texture,the circular texture improved the elongation to failure both along the rolling direction(RD)and transverse direction(TD).By quasi-in-situ EBSD-assisted slip trace analysis,higher activation of basal slip was observed in the circular-texture sample during RD tension,contributing to its excellent *** loading along the TD,the TD-tilted texture promoted the activation of{10.12}tensile twins significantly,thus providing nucleation sites for cracks and deteriorating the *** research may shed new insights into the development of formable and ductile Mg alloy sheets by texture modification.

关键词： Magnesium alloy TD-tilted texture Circular texture In-plane yield anisotropy Ductility

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Movement behavior and separation of Al_(2)O_(3)from Al melt under rotating magnetic field

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China Foundry 2024年第6期21卷 625-633页

作者： Shan-hao Du Yu-ting Shen Yu-bo Zhang Shao-jun Yu De-hua Liu Ting-ju Li Key Laboratory of Solidification Control and Digital Preparation Technology(Liaoning Province) School of Materials Science and EngineeringDalian University of TechnologyDalian 116024LiaoningChina Ningbo Institute of Dalian University of Technology Ningbo 315016ZhejiangChina School of Mechanics Dalian University of TechnologyDalian 116024LiaoningChina

The effect of a rotating magnetic field(RMF)on the distribution of Al_(2)O_(3)particles with an Al melt was studied by means of simulation and *** results show that Al_(2)O_(3)particles(diameter of 1-10μm,1wt.%)are significantly agglomerated at the top of ingots when subjected to an RMF,and their distribution is influenced by both the intensity and the duration of RMF *** optimal separation efficiency is achieved with the magnetic intensity of 12 mT for 120 *** number of the particles at the bottom and the middle decreases by 64.5%and 69.7%,respectively,while that at the top increases by 242.5%compared to the condition without an ***,if further increase the intensity or the duration of RMF,it can induce turbulent flows that draw some of the separated Al_(2)O_(3)particles back into the melt,reducing separation *** calculation results show that as the magnetic intensity increases from 6 mT to 18 mT,the velocity difference between the particles and the Al melt flow quadruples,increasing from 0.013 m·s^(-1)to 0.066 m·s^(-1).Driven by this velocity difference,centrifugal motion,and secondary circulation,Al_(2)O_(3)particles tend to migrate upwards within the melt,facilitating the separation of impurity particles and enhancing the purity of the melt.

关键词： Al_(2)O_(3)particles rotating magnetic field numerical simulation electromagnetic purification

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