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Balancing the piezoelectric coefficient and carrier concentration of Bi_(2)WO_(6−x) for ultrahigh piezocatalysis

Journal of advanced Ceramics 2024年第11期13卷 1737-1747页

作者： Ying Wang Xiaoli Xu Lingbo Xiao Lutao Li Qiuhua Xu Zhenhai Wen Laishun Qin Yanmin Jia Dong-Liang Peng Wanping Chen Da Chen College of Materials and Chemistry China Jiliang UniversityHangzhou 310018China Key Laboratory of Jiangxi Province for Persistent Pollutants Control National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization and Resources RecycleNanchang Hangkong UniversityNanchang 330063China Department of Physics Zhejiang University of Science and TechnologyHangzhou 310008China Jiangsu Key Laboratory for Science and Applications of Molecular Ferroelectrics Southeast UniversityNanjing 211189China Key Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province College of EnergySoochow UniversitySuzhou 215006China State Key Laboratory of Structural Chemistry and Fujian Provincial Key Laboratory of Materials and Techniques toward Hydrogen EnergyFujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002China School of Physics and Information Technology Shaanxi Normal UniversityXi’an 710121China State Key Laboratory of Physical Chemistry of Solid Surface Fujian Key Laboratory of Surface and Interface Engineering for High Performance MaterialsCollege of MaterialsXiamen UniversityXiamen 361005China School of Physics and Technology Wuhan UniversityWuhan 430072China

Balancing the piezoelectric coefficient and carrier concentration of materials is key in the field of *** this work,Bi_(2)WO_(6) material with both piezoelectric and semiconductor properties was chosen as a model material.A one-step ethylene glycol(EG)-assisted solvothermal method was used to synthesize Bi2WO6 with oxygen *** controlling the solvothermal time and temperature,the oxygen vacancy concentration(COV)was *** COV increases,the piezoelectric coefficient decreases,the carrier concentration increases,and the hydrogen production rate first increases but then *** COV reaches 1.45×10^(12) spins·mg^(−1),the corresponding piezoelectric coefficient and carrier concentration are 13.9 pm·V^(−1) and 2.90×10^(20) cm^(−3),*** optimal hydrogen production rate per power of 2.21μmol·g^(−1)·h^(−1)·W^(−1) is equivalent to or even better than that of most reported *** piezoelectric coefficient and carrier concentration,as two factors,jointly determine the piezocatalytic *** findings of this research can provide important and deep-seated insights for better piezocatalysts in the future.

关键词： piezocatalysis oxygen vacancy carrier concentration piezoelectric coefficient hydrogen evolution

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A Novel Extraction Model with Effective Separation Coefficient for Rare Earth Extraction Process

SSRN

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SSRN 2024年

作者： Xu, Fangping Yang, Hui Chang, Wenjia Zhu, Jianyong School of Electrical and Electronic East China Jiaotong University Nanchang330013 China Key Laboratory of Advanced Control & Optimization of Jiangxi Province Nanchang330013 China

For the rare earth extraction process is complicated, and its mechanistic model is usually ideal, which fails to fully consider the actual separation effect in the field extraction process. This oversight results in a significant discrepancy between the theoretical solute concentration at each stage and the empirical data from on-site production. To rectify this issue, we introduce an effective separation coefficient, thereby enabling the creation of a model capable of accurately determining the concentration of rare earth elements (REE) within each extraction extractor. This model also facilitates the construction of an optimized objective function for determining the effective separation coefficient. Taking into account the multi-peak and multi-variable nature of the optimized objective function, we put forth an enhanced version of the chaotic double mutation adaptive differential evolution algorithm: the Linear-Chaos and Two Mutation Strategies of Adaptive Differential Evolution with Covariance Matrix and Cauchy Perturbation (CC-LCTADE). Initially, a chaotic sequence is integrated into the improved algorithm to generate the initial population, thereby amplifying population diversity. Subsequently, a Covariance Matrix and Cauchy perturbation framework is incorporated into a novel characteristic coordinate system, established during the mutation and crossover processes, thereby improving its capability to prevent premature convergence. Given the variable performance requirements of the mutation strategy at different evolutionary stages, the proposed method employs a DE/current-to pbest/1 and DE/rand/1 double mutation strategy. Ultimately, adaptive techniques are utilized to determine the values of F, CR, and NP. Simulation results tested on the function CEC2017 indicate a clear superiority of CC-LCTADE over other algorithms. CC-LCTADE is then used to solve the effective separation coefficient based objective function for rare earth extraction process. The experimen

关键词： Covariance matrix

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Static-feedback guaranteed cost control for linear systems with outage and loss of effectiveness actuator faults

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Journal of control and Decision 2022年第4期9卷 407-419页

作者： Chun-Hua Xie Zhe Li Yanli Zhou School of Electrical and Automation Engineering East China Jiaotong UniversityNanchangPeople’s Republic of China Key Laboratory of Advanced Control&Optimization of Jiangxi Province NanchangPeople’s Republic of China cCollege of Electrical and Information Engineering Hunan UniversityChangshaPeople’s Republic of China

This paper investigates the static-feedback guaranteed cost control problem for linear systems with actuator faults including outage and loss of *** the actuator redundancy condition,theoretical analysis shows that a static-feedback guaranteed cost controller can always be well designed to ensure that the resulting closed-loop system is stable with desirable quadratic *** particular,the feedback gain can be determined through the solution of a modified algebraic Riccati ***,extension to the system with uncertainties is further *** with the dynamic feedback controller,the static-feedback controller consists only of logical gates/modules and it does not require any memory element,and hence it is simplest in a design *** from the existing results,the severe and timevarying actuator outage faults can be handled very well by the proposed control ***,simulation on a linearised reduced-order aircraft system is provided for verifying the theoretical results.

关键词： Static-feedback guaranteed cost control linear systems actuator outage faults algebraic Riccati equation

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Adaptive Backstepping Sliding Mode control of High-speed Train Based on Fuzzy Regulation 5

Adaptive Backstepping Sliding Mode Control of High-speed Tra...

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5th International Conference on Industrial Artificial Intelligence, IAI 2023

作者： Fu, Yating Tian, Junhao Yang, Hui East China Jiaotong University State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure Nanchang330013 China East China Jiaotong University Key Laboratory of Advanced Control and Optimization of Jiangxi Province Nanchang330013 China East China Jiaotong University School of Electrical and Automation Engineering Nanchang330013 China East China Jiaotong University Nanchang330013 China

ISBN: (纸本)9798350325294

In order to meet the operational requirements of the high-speed train in terms of safety, accuracy and smoothness, an adaptive backstepping sliding mode control approach based on fuzzy regulation is put forward in this paper. Firstly, to solve the problem of insufficient accuracy of the single point model, this paper establishes a mass point dynamics model of the high-speed train and sets a compensation term for the model considering the uncertainties in the operation process. Secondly, the adaptive law is designed to estimate the compensation term and the new backstepping sliding mode control strategy is developed. Finally, fuzzy rules are designed to adjust the switching gain of the sliding mode term to suppress jitter. The results of simulation and comparison experiments demonstrate the effectiveness and feasibility of the proposed modeling and control method. © 2023 IEEE.

关键词： Railroads

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A Memory-Greedy Policy With Guaranteed Convergence for Accelerating Reinforcement Learning

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Journal of Autonomous Vehicles and Systems 2021年第1期1卷 011005页

作者： Yu, Xinglin Wu, Yuhu Sun, Xi-Ming Zhou, Wenya Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education School of Control Science and Engineering Dalian University of Technology Dalian116024 China Liaoning Provincial Key Laboratory of Aerospace Advanced Technology School of Aeronautics and Astronautics Dalian University of Technology Dalian116024 China

Balancing the exploration and exploitation in reinforcement learning is a commonly dilemma and time-wasting work. In this paper, a novel exploration policy used in Q-Learning, called Memory-greedy policy, is proposed to accelerate learning. By memory storage and playback, the probability of random action selecting can be effectively dealt with or reduced, which hence speeds up learning. The principle of this policy is analyzed by maze scene, and the theoretical convergence is given according to dynamic programming. Copyright © 2021 by ASME.

关键词： Reinforcement learning

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Human Behavior Recognition based on Residual Generative Adversarial Networks

Human Behavior Recognition based on Residual Generative Adve...

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2022 International Conference on Computer, Artificial Intelligence, and control Engineering, CAICE 2022

作者： Hongbin, Tu Tianhua, Zhan Dongliang, Hu College of Electrical and Automation Engineering East China Jiaotong University Jiangxi Nanchang330013 China Changsha Information Research Institute Hunan Great Wall Technology Information Company Limited Hunan Changsha410000 China Jiangxi Key Laboratory of Advanced Control and Optimization East China Jiaotong University Jiangxi Nanchang330013 China

ISBN: (纸本)9781510655942

In order to improve the accuracy of human action recognition, a Residual Generative Adversarial Network (Res-GAN) method is proposed by combining the characteristics of Generative Adversarial Networks and Residual Networks. The generator uses an improved residual block extraction feature to obtain deep texture information and enhance the regularization of the model;residual blocks construct the discriminator. On the one hand, the accuracy of image feature extraction is improved, and the convergence speed of the network is accelerated. On the other hand, the discriminator performs the classification pre-training of human behavior recognition while distinguishing true and false samples. In order to avoid the influence of residual generative adversarial network generator on the recognition accuracy due to the instability of the reconstructed samples, the trained residual generative adversarial network discriminator was constructed as a classifier for human behavior recognition. Experiments on the KTH dataset demonstrate the effectiveness of the proposed method. © 2022 SPIE.

关键词： Feature extraction

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Tracking control of High-Speed Trains Based on An Improve Disturbance Observer

Tracking Control of High-Speed Trains Based on An Improve Di...

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Data Driven control and Learning Systems (DDCLS)

作者： Jian-Ping Zhang Lin-Bao Deng Chun-Hua Xie School of Electrical and Automation Engineering East China Jiaotong University Nanchang Jiangxi China State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure East China Jiaotong University Nanchang Jiangxi China Key Laboratory of Advanced Control & Optimization of Jiangxi Province Nanchang Jiangxi China

Accurate tracking of position and velocity is a critical problem to be solved for the automatic train operation (ATO) system. However, achieving automatic operation for high-speed trains (HSTs) is difficult due to unknown disturbances and actuator faults. This paper uses an improved disturbance observer-based control (IDOBC) strategy to solve this issue. Each carriage is considered a particle and connected by a flexible coupler to establish the multiple point-mass model for HSTs by considering unknown lumped disturbances and actuator faults. For the lumped disturbances caused by the external environment, an improved disturbance observer is designed to compensate for the impact caused by this component on HSTs. Based on the given linear matrix inequality, the HSTs system satisfies the $H_{\infty}$ performance under the IDOBC strategy. Compared with traditional DOBC, the proposed IDOBC has higher tracking accuracy.

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Semi-Supervised Multiview Fuzzy Broad Learning

SSRN

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SSRN 2023年

作者： Xi, Chao Peng, Cheng Fan, Zizhu Liu, Qiang Wang, Hui Key Laboratory of Advanced Control and Optimization of Jiangxi Province East China Jiaotong University Nanchang330013 China Department of Engineering King’s College London London4616 United Kingdom State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Liaoning110819 China

Semi-supervised learning models often rely on the restricted assumptions, and can easily suffer from corvariate shift or noise. Few studies have explored the use of fuzzy rule-based methods in the semi-supervised discipline. In this paper, we first build a semi-supervised fuzzy broad learning model called MT-FBLS to address these issues. Further, a trusted multiview semisupervised classification method, termed TMSSC, is proposed by integrating the MT-FBLS with a multiview fusion network to enhance the robustness of the model. Under the Mean-Teacher framework, MT-FBLS involves the Takagi-Sugeno-Kang(TSK) fuzzy model which can effectively deal with imprecision and uncertainty, and broad learning system(BLS) which has strong rule learning ability and high computational efficiency. TMSSC utilizes a trusted mechanism to blend multiple views, so as to enhance its learning ability in the semi-supervised *** on the benchmark datasets demonstrate that the proposed methods have better anti-noise ability, competitive classification accuracy, as well as fast running speed. © 2023, The Authors. All rights reserved.

关键词： Learning systems

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Identification of Abnormal Operating Conditions in Fused Magnesium Furnaces Using a Deep Multiview TSK Fuzzy System

Identification of Abnormal Operating Conditions in Fused Mag...

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Chinese Automation Congress (CAC)

作者： Chao Xi Gaochang Wu Zizhu Fan Feng Xu Hui Wang Xiaokun Tang School of Electrical and Automation Engineering East China Jiaotong University Nanchang China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China College of Computer Science and Technology Shanghai University of Electric Power Shanghai China Key Laboratory of Advanced Control and Optimization of Jiangxi Province East China Jiaotong University Nanchang China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

The smelting process of the fused magnesium furnace(FMF) is prone to semi-molten abnormal conditions, which may lead to low product quality and production efficiency, and is also prone to safety accidents. At present, the operating conditions of FMF mainly rely on manual observation of the furnace shell features for diagnosis, and it is hard to timely and effectively identify abnormalities in the smelting process. Given the difficulty in identifying abnormal operating conditions of FMF, this paper proposes a deep multiview fuzzy classification method(DMFC) that can automatically identify abnormal operating conditions. First, based on the three-phase current data, CNN and Transformer are used to extract features as multiple views. Secondly, the Takagi-Sugeno-Kang(TSK) fuzzy model is used as a single-view model, and the evidence theory is used for dynamic fusion of multiple views. This method can effectively fuse multiple deep features, and has strong scalability and a certain degree of interpretability. Through verification of the real historical data of multiple FMFs, our model has relatively high accuracy, false detection rate(FDR), and missed detection rate(MDR).

关键词： Fuses Heuristic algorithms Furnaces Smelting Production Feature extraction Transformers Magnesium Classification algorithms Unsupervised learning

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Enhancing Later Flow Immunoassay Detection Performance Via Oriented Antibody Design

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SSRN 2024年

作者： Hu, Liwen Zhang, Yiou Ye, Xianlong Li, Ting Liu, Daofeng Hu, Liming Lai, Weihua State Key Laboratory of Food Science and Resources Nanchang University Nanchang330047 China Ganjiang Traditional Chinese Medicine Innovation Center Nanchang330115 China Jiangxi Provincial Center for Disease Control and Prevention Jiangxi Provincial Key Lab Diagnosing and Tracing Foodborne Nanchang330029 China Institute of Biomedicine and Biotechnology Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Precision Medicine R&D Center Zhuhai Institute of Advanced Technology Zhuhai519085 China

In conventional double antibody sandwich lateral flow immunoassay (LFIA), both the detection antibody in the immunoprobe and the capture antibody on the test line are typically non-oriented. In this study, a C-terminal cysteine-tagged recombinant protein A (rPA) was used, comprising both rPA-monomer and rPA-dimer. The detection antibody was conjugated to aggregation-induced emission fluorescence microsphere in an oriented manner, achieving a 90.9% orientation ratio, facilitated by rPA-monomer. For capture antibody, the rPA-dimer enabled its orientation on the test line. The oriented configuration of both detection antibody and capture antibody was then used to construct a LFIA for detecting Escherichia coli O157:H7 (E. coli O157:H7). The limit of detection for E. coli O157:H7 using the oriented antibody-based LFIA was 2.14×102 CFU/mL, which is 8.72 times lower than that based on non-oriented antibodies. This novel sandwich LFIA based on oriented detection and capture antibodies has great potential for applications in environmental monitoring and food safety. © 2024, The Authors. All rights reserved.

关键词： Escherichia coli

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