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Exploring formation mechanism and source attribution of ozone during the 2019 Wuhan Military World Games:Implications for ozone control strategies

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Journal of Environmental Sciences 2024年第2期136卷 400-411页

作者： Lei Zhang Lili Wang Runyu Wang Nan Chen Yuan Yang Ke Li Jie Sun Dan Yao Yuesi Wang Minghui Tao Yang Sun Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China University of the Chinese Academy of Sciences Beijing 100049China Hubei Ecological Environment Monitoring Center Station Wuhan 430072China Guizhou Research and Designing Institute of Environmental Sciences Guizhou Academy of Environmental Science and DesignGuiyang 550081China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution control Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and EngineeringNanjing University of Information Science and TechnologyNanjing 210044China School of Environment Key Laboratory for Yellow River and Huai River Water Environment and Pollution ControlMinistry of EducationHenan Normal UniversityXinxiang 453007China Key Laboratory of Regional Ecology and Environmental Change School of Geography and Information EngineeringChina University of GeosciencesWuhan 430074China

A series of emission reduction measures were conducted in Wuhan,Central China,to ensure good air quality during the 7th Military World Games(MWG)in October *** better understand the implications for ozone(O_(3))pollution control strategies,we applied integrated analysis approaches based on the de-weathered statistical model,parameterization methods,chemical box model,and positive matrix factorization *** the MWG,concentrations of O_(3),NO_x,and volatile organic compound(VOCs),OFP(O_(3)formation potential),L_(OH)(OH radical loss rate)were 83μg/m^(3),43μg/m^(3),26 ppbv,188μg/m^(3),and 3.9 s^(-1),respectively,which were 26%,18%,3%,15%,and 13%lower than pre-MWG values and 6%,39%,30%,33%,and 50%lower than post-MWG values,*** removing meteorological influence,O_(3)and its precursors during the MWG decreased largely compared with post-MWG values,and only O_(3),NO_(2),and oxygenated VOCs(OVOCs)declined compared with pre-MWG values,which revealed the emission reduction measures during the MWG played an important role for O_(3)*** six VOCs sources,the mass contributions of biomass burning and solvents usage during the MWG decreased largely compared with pre-MWG values.O_(3)production was sensitive to VOCs and the key species were aromatics,OVOCs,and alkenes,which originated mainly from solvents usage,biomass burning,industrial-related combustion,and vehicle *** O_(3)concentration during the strict control was mainly caused by OVOCs reduction due to biomass burning ***,the O_(3)abatement strategies of Wuhan should be focused on the mitigation of high-reactivity VOCs.

关键词： VOCs Ozone Wuhan Military World Games Source apportionment Relative incremental reactivity Random forest

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Integrated strategy for real-time wind power fluctuation mitigation and energy storage system control

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Global Energy Interconnection 2024年第1期7卷 71-81页

作者： Yu Zhang Yongkang Zhang Tiezhou Wu Hubei University of Technology Hubei Key Laboratory of Solar Energy Efficient Utilization and Energy Storage Operation ControlHubeiWuhan 430068P.R.China

To address the impact of wind-power fluctuations on the stability of power systems,we propose a comprehensive approach that integrates multiple strategies and methods to enhance the efficiency and reliability of a ***,we employ a strategy that restricts long-and short-term power output deviations to smoothen wind power fluctuations in real ***,we adopt the sliding window instantaneous complete ensemble empirical mode decomposition with adaptive noise(SW-ICEEMDAN)strategy to achieve real-time decomposition of the energy storage power,facilitating internal power distribution within the hybrid energy storage ***,we introduce a rule-based multi-fuzzy control strategy for the secondary adjustment of the initial power allocation commands for different energy storage *** simulation validation,we demonstrate that the proposed comprehensive control strategy can smoothen wind power fluctuations in real time and decompose energy storage *** with traditional empirical mode decomposition(EMD),ensemble empirical mode decomposition(EEMD),and complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)decomposition strategies,the configuration of the energy storage system under the SW-ICEEMDAN control strategy is more ***,the state-of-charge of energy storage components fluctuates within a reasonable range,enhancing the stability of the power system and ensuring the secure operation of the energy storage system.

关键词： SW-ICEEMDAN HESS Real-time smoothing Rule-based multi-fuzzy control SoC

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Design and Performance Analysis of HMDV Dynamic Inertial Suspension Based on Active Disturbance Rejection control

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1485-1506页

作者： Xiaofeng Yang Wei Wang Yujie Shen Changning Liu Tianyi Zhang School of Automotive and Traffic Engineering Jiangsu UniversityZhenjiang212013China Automotive Engineering Research Institute Jiangsu UniversityZhenjiang212013China Chongqing Key Laboratory of Urban Rail Transit System Integration and control Chongqing400074China State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle Hunan universityChangsha410082China

This paper addresses the impact of vertical vibration negative effects,unbalanced radial forces generated by the static eccentricity of the hub motor,and road excitation on the suspension performance of Hub Motor Driven Vehicle(HMDV).A dynamic inertial suspension based on Active Disturbance Rejection control(ADRC)is proposed,combining the vertical dynamic characteristics of dynamic inertial suspension with the features of ADRC,which distinguishes between internal and external disturbances and arranges the transition ***,a simulation model of the static eccentricity of the hub motor is established to simulate the unbalanced radial electromagnetic force generated under static eccentricity.A quarter-vehicle model of an HMDV with a controllable dynamic inertial suspension is then ***,the passive suspension model is studied under different grades of road excitation,and the impact mechanism of suspension performance at speeds of 0–20 m/s is ***,the three main components within the ADRC controller are designed for the second-order controlled system,and optimization algorithms are used to optimize its internal ***,the performance of the traditional passive suspension,the PID-based controllable dynamic inertial suspension,and the ADRC-based controllable dynamic inertial suspension are analyzed under different road *** results show that,under sinusoidal road input,the ADRC-based controllable dynamic inertial suspension exhibits a 52.3%reduction in the low-frequency resonance peak in the vehicle body acceleration gain diagram compared to the traditional passive suspension,with significant performance optimization in the high-frequency *** random road input,the ADRC-based controllable dynamic inertial suspension achieves a 29.53%reduction in the root mean square value of vehicle body acceleration and a 14.87%reduction in dynamic tire *** indicates that the designed controllable dynamic inertia

关键词： HMDV static eccentricity ADRC dynamic inertial suspension road excitation

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Progressing our knowledge of enterovirus:Epidemiology,diagnosis,prevention,control,and beyond

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Biosafety and Health 2024年第1期6卷 3-4页

作者： Jing Lu Zexin Tao Yong Zhang Guangdong Provincial Institution of Public Health Guangdong Provincial Center for Disease Control and PreventionGuangzhou 511430China Shandong Center for Disease control and Prevention Jinan 250014China National Key Laboratory of Inteigent Tracking and Forecasting for Infectious Diseases(NITFID) National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China National Polio Laboratory WHO WPRO Regional Polio Reference LaboratoryNational Health Commission Key Laboratory for BiosafetyNational Health Commssion Key Laboratory for Medical VirologyNational Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China

We are thrilled to present this dedicated issue spotlighting enterovirus infections and health in Biosafety and *** articles presented in this issue span the broad spectrum of current research in this vital field,providing insights into the epidemiology,diagnostic procedures,and pathogenesis of enterovirus ***,a genus of RNA viruses encompassing polioviruses,coxsackieviruses,and echoviruses,play a crucial role in public health.

关键词： prevention diagnosis epidemiology

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A photovoltaic hydrogen generation system using fuzzy logic control-based maximum power point tracking

A photovoltaic hydrogen generation system using fuzzy logic ...

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第35届中国过程控制会议

作者： SongYu Luo AiMin An Yan Wu XianGui Li JiangTao Li College of Electrical and Information Engineering Lanzhou University of Technology Key Laboratory of Gansu Advanced control for Industrial Processes

In this paper, the modeling of the PV hydrogen production system and the optimization control method are studied, and a compound maximum power point tracking control technique is proposed to improve the quality of PV power generation as well as the efficiency of hydrogen production. Firstly, the overall structure of the PV hydrogen production system is constructed, and mathematical models of PV arrays, PEM electrolyzer, hydrogen storage tanks, storage batteries, etc. are established;secondly,the basic concepts, basic principles, and flow charts of the fuzzy logic control(FLC) and the adaptive Gray Wolf algorithm(GWO) are introduced;finally, the GWO algorithm is combined with the PV hydrogen production system, and maximum power point tracking control control based on this algorithm is modeled and simulation analysis, and the effectiveness and feasibility of the proposed technique are verified by simulation comparison. The simulation results show that the maximum power point tracking control control system based on the adaptive GWO algorithm has a smaller power oscillation range and power loss near the maximum power point, and the dynamic response time of the maximum power point tracking control control system proposed in this paper is shortened by an average of 0.04 s. The power oscillation of the system has been effectively reduced by17.2%, and the energy conversion efficiency has been improved, which highlights the advantages of the scheme. By comparing and analyzing with the traditional maximum power point tracking control optimization control method, it is verified that the proposed method improves the operation index of the PV hydrogen production system to a certain extent, and at the same time reduces the fluctuation amplitude of the input power of the PEM electrolyzer, and strengthens the dynamic balance capability of the PV hydrogen production system.

关键词： Photovoltaic power generation Hydrogen production from electrolyzed water Optimize control

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Hybrid-Triggered H∞ sliding mode control for Networked control System With Deception Attacks

Hybrid-Triggered H∞ sliding mode control for Networked Cont...

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第35届中国过程控制会议

作者： Xiangyang Qu Zhiwen Wang Pan Zhang Feng Wang College of Electrical and Information Engineering Lanzhou University of Technology Gansu Key Laboratory Advanced control for Industrial Processes

This paper studies the H∞ sliding mode control(SMC) problem for a class of networked control system(NCS) with hybrid event-triggered scheme and deception attacks. To alleviate the communication burden, a hybrid event-triggered mechanism that combines the time-triggered mechanism(TTM) and event-triggered mechanism(ETM) via a Bernoulli random variable is presented. Then, taking into account the influence of deception attacks on system performance, an observer-based output feedback H∞ SMC method is proposed. By using the linear matrix inequality technique and Lyapunov stability theory, the system is asymptotically stable and with given H∞ performance. In addition, an observer-based SMC law is designed to ensure that the system state trajectory reaches a predefined sliding region. Finally, a numerical simulation is used to verify the effectiveness of the proposed method.

关键词： Networked control system sliding mode control hybrid-triggered mechanism deception attacks

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Enhancing Erythromycin Production: A Transformer-Based Approach with Wavelet Denoising for Optimized Fermentation control

Enhancing Erythromycin Production: A Transformer-Based Appro...

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第35届中国过程控制会议

作者： Yizhi Cao Feng Li Xiaojian Wang Zijian Tian Yi Xie Xinggao Liu College of control Science and Engineering Zhejiang University YiChang HEC Biochemical Pharmaceutical Co. Ltd.

Erythromycin is a vital antibiotic produced through fermentation, a process susceptible to the precise control of nutritional supplementation. Current methodologies in controlling feed rates in erythromycin fermentation rely on static feeding schedules or basic feedback mechanisms, which often do not accommodate the dynamic biological changes occurring during fermentation. This often results in suboptimal production yields and increased waste. To address the above issue, our research introduces a novel model, the WTDformer, which incorporates wavelet denoising and a patch attention-based Transformer architecture to enhance the predictability and control of feed rates during fermentation. The WTDformer model is designed to accurately predict crucial fermentation parameters in real time, enabling dynamic adjustments to feeding strategies. Our results demonstrate significant improvements in the accuracy of feed predictions compared to traditional methods, leading to optimized erythromycin yield and process efficiency. This study proposes a cutting-edge solution to a longstanding challenge in biopharmaceutical manufacturing and opens new avenues for applying advanced machine learning techniques to optimize other biotechnological processes.

关键词： Erythromycin Fermentation Time-Series Analysis Deep Learning in Bioprocessing

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Noise-Tolerant ZNN-Based Data-Driven Iterative Learning control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 344-361页

作者： Yunfeng Hu Chong Zhang Bo Wang Jing Zhao Xun Gong Jinwu Gao Hong Chen State Key Laboratory of Automotive Simulation and control Jilin UniversityJilin UniversityChangchun 130025China College of Communication Engineering Jilin UniversityJilin UniversityChangchun 130025China Department of Electromechanical Engineering University of MacaoMacao 999078China School of Artificial Intelligence Jilin UniversityChangchun 130012China IEEE College of Electronics and Information Engineering Tongji UniversityShanghai 200092China

Aiming at the tracking problem of a class of discrete nonaffine nonlinear multi-input multi-output(MIMO) repetitive systems subjected to separable and nonseparable disturbances, a novel data-driven iterative learning control(ILC) scheme based on the zeroing neural networks(ZNNs) is proposed. First, the equivalent dynamic linearization data model is obtained by means of dynamic linearization technology, which exists theoretically in the iteration domain. Then, the iterative extended state observer(IESO) is developed to estimate the disturbance and the coupling between systems, and the decoupled dynamic linearization model is obtained for the purpose of controller synthesis. To solve the zero-seeking tracking problem with inherent tolerance of noise,an ILC based on noise-tolerant modified ZNN is proposed. The strict assumptions imposed on the initialization conditions of each iteration in the existing ILC methods can be absolutely removed with our method. In addition, theoretical analysis indicates that the modified ZNN can converge to the exact solution of the zero-seeking tracking problem. Finally, a generalized example and an application-oriented example are presented to verify the effectiveness and superiority of the proposed process.

关键词： Adaptive control control system synthesis data-driven iterative learning control neurocontroller nonlinear discrete time systems

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Recent advances in morphology control of platinum catalysts toward oxygen reduction reaction

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Frontiers in Energy 2024年第3期18卷 330-355页

作者： Shun CHEN Yanru LIU Xiaogang FU Wanglei WANG State Key Laboratory of Solidification Processing Atomic Control and Catalysis Engineering LaboratorySchool of Materials Science and EngineeringNorthwestern Polytechnical UniversityXi’an 710072China State Key Laboratory of Oral and Maxillofacial Reconstruction and Regeneration National Clinical Research Center for Oral DiseasesShaanxi Key Laboratory of StomatologyDepartment of Dental MaterialsSchool of StomatologyThe Fourth Military Medical UniversityXi’an 710032China

Exploring advanced platinum (Pt)-based electrocatalysts is vital for the widespread implementation of proton exchange membrane fuel cells (PEMFCs). Morphology control represents an effective strategy to optimize the behavior of Pt catalysts. In this work, an attempt is made to comprehensively review the effect of morphology control on the catalytic behavior of catalysts in the oxygen reduction reaction (ORR). First, the fundamental physicochemical changes behind morphology control, including exposing more active sites, generating appropriate lattice strains, and forming different crystalline surfaces, are highlighted. Then, recently developed strategies for tuning the morphologies of electrocatalysts, including core-shell structures, hollow structures, nanocages, nanowires, and nanosheets, are comprehensively summarized. Finally, an outlook on the future development of morphology control of Pt catalysts is presented, including rational design strategies, advanced in situ characterization techniques, novel artificial intelligence, and mechanical learning. This work is intended to provide valuable insights into designing the morphology and technological innovation of efficient redox electrocatalysts in fuel cells.

关键词： morphology platinum catalysts electrocatalysis ORR PEMFC

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An artificial systems,computational experiments and parallel execution-based surface electromyogram-driven anti-disturbance zeroing neurodynamic strategy for upper limb human-robot interaction control

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 511-525页

作者： Yongbai Liu Keping Liu Gang Wang Jiliang Zhang Yao Chou Zhongbo Sun Department of Mechanical Engineering Changchun University of TechnologyChangchunChina Department of control Engineering Changchun University of TechnologyChangchunChina School of Electrical and Information Engineering Jilin Engineering Normal UniversityChangchunChina College of Information Science and Engineering Northeastern UniversityShenyangChina Department of Electrical and Computer Engineering Brigham Young UniversityProvoUtahUSA

In recent years,intelligent robots are extensively applied in the field of the industry and intelligent rehabilitation,wherein the human-robot interaction(HRI)control strategy is a momentous part that needs to be ***,the efficacy and robustness of the HRI control algorithm in the presence of unknown external disturbances deserve to be *** deal with these urgent issues,in this study,artificial systems,computational experiments and a parallel execution intelligent control framework are constructed for the HRI *** upper limb-robotic exoskeleton system is re-modelled as an artificial *** on surface electromyogram-based subject's active motion intention in the practical system,a non-convex function activated anti-disturbance zeroing neurodynamic(NC-ADZND)controller is devised in the artificial system for parallel interaction and HRI control with the practical ***,the linear activation function-based zeroing neurodynamic(LAF-ZND)controller and proportionalderivative(posterior deltoid(PD))controller are presented and *** results substantiate the global convergence and robustness of the proposed controller in the presence of different external *** addition,the simulation results verify that the NC-ADZND controller is better than the LAF-ZND and the PD controllers in respect of convergence order and anti-disturbance characteristics.

关键词： neural network pattern recognition robotics signal processing

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