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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Shuai Mao Ziwei Dong Wei Du Yang Tang The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (数字)9781728156354

ISBN: (纸本)9781728156361

The economic dispatch problem (EDP) is important to the economic operation in microgrids, the objective of which is to obtain the generation plan with the minimal total generation cost. Considering the connection to main grid, flexible loads and line losses in the microgrid, a complete EDP model with corresponding constraints is proposed in this paper. Motivated by the push-sum method and dynamic consensus, a consensus-based distributed optimization algorithm is proposed to solve EDPs in this paper, step sizes of which can be fixed and uncoordinated. It is shown that the proposed distributed algorithm is able to solve EDPs in microgrids when the time-varying directed communication networks satisfy the uniformly jointly strongly connected condition. Several examples are provided to validate the proposed distributed optimization algorithm.

关键词： Microgrids Load modeling Communication networks Optimization Heuristic algorithms Generators Economics

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Emerging contaminants:A One Health perspective

引用

The Innovation 2024年第4期5卷 140-170,139页

作者： Fang Wang Leilei Xiang Kelvin Sze-Yin Leung Martin Elsner Ying Zhang Yuming Guo Bo Pan Hongwen Sun Taicheng An Guangguo Ying Bryan WBrooks Deyi Hou Damian EHelbling Jianqiang Sun Hao Qiu Timothy MVogel Wei Zhang Yanzheng Gao Myrna JSimpson Yi Luo Scott XChang Guanyong Su Bryan MWong Tzung-May Fu Dong Zhu Karl JJobst Chengjun Ge Frederic Coulon Jean Damascene Harindintwali Xiankui Zeng Haijun Wang Yuhao Fu Zhong Wei Rainer Lohmann Changer Chen Yang Song Concepcion Sanchez-Cid Yu Wang Ali El-Naggar Yiming Yao Yanran Huang Japhet Cheuk-Fung Law Chenggang Gu Huizhong Shen Yanpeng Gao Chao Qin Hao Li Tong Zhang Natàlia Corcoll Min Liu Daniel SAlessi Hui Li Kristian KBrandt Yolanda Pico Cheng Gu Jianhua Guo Jianqiang Su Philippe Corvini Mao Ye Teresa Rocha-Santos Huan He Yi Yang Meiping Tong Weina Zhang Fidèle Suanon Ferdi Brahushi Zhenyu Wang Syed AHashsham Marko Virta Qingbin Yuan Gaofei Jiang Louis A.Tremblay Qingwei Bu Jichun Wu Willie Peijnenburg Edward Topp Xinde Cao Xin Jiang Minghui Zheng Taolin Zhang Yongming Luo Lizhong Zhu Xiangdong Li DamiàBarceló Jianmin Chen Baoshan Xing Wulf Amelung Zongwei Cai Ravi Naidu Qirong Shen Janusz Pawliszyn Yong-guan Zhu Andreas Schaeffer Matthias C.Rillig Fengchang Wu Gang Yu James M.Tiedje State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China University of Chinese Academy of Sciences Beijing 100049China Department of Chemistry Hong Kong Baptist UniversityHong KongChina HKBU Institute of Research and Continuing Education Shenzhen Virtual University ParkShenzhenChina Technical University of Munich TUM School of Natural SciencesInstitute of Hydrochemistry85748 GarchingGermany School of Resources&Environment Northeast Agricultural UniversityHarbin 150030China Climate Air Quality Research UnitSchool of Public Health and Preventive MedicineMonash UniversityMelbourneVICAustralia Faculty of Environmental Science&Engineering Kunming University of Science&TechnologyKunming 650500China Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria College of Environmental Science and EngineeringNankai UniversityTianjin 300350China Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Ministry of Education Key Laboratory of Environmental Theoretical Chemistry South China Normal UniversityGuangzhouGuangdong 510006China Department of Environmental Science Baylor UniversityWacoTXUSA Center for Reservoir and Aquatic Systems Research(CRASR) Baylor UniversityWacoTXUSA School of Environment Tsinghua UniversityBeijing 100084China School of Civil and Environmental Engineering Cornell UniversityIthacaNY 14853USA Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province Zhejiang University of TechnologyHangzhou 310014China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Laboratoire d’Ecologie Microbienne Universite Claude Bernard Lyon 1UMR CNRS 5557UMR INRAE 1418VetAgro Sup69622 VilleurbanneFrance Department of Pla

Environmental pollution is escalating due to rapid global development that often prioritizes human needs over planetary *** global efforts to mitigate legacy pollutants,the continuous introduction of new substances remains a major threat to both people and the *** response,global initiatives are focusing on risk assessment and regulation of emerging contaminants,as demonstrated by the ongoing efforts to establish the UN’s Intergovernmental Science-Policy Panel on chemicals,Waste,and Pollution *** review identifies the sources and impacts of emerging contaminants on planetary health,emphasizing the importance of adopting a One Health *** for monitoring and addressing these pollutants are discussed,underscoring the need for robust and socially equitable environmental policies at both regional and international *** actions are needed to transition toward sustainable pollution management practices to safeguard our planet for future generations.

关键词： pollution planet contaminants

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One Stone Two Bird:Reduced Oxide Graphene Supported G-C3n4 Quantum Dots Implements Efficient Capturing/Catalytic Polysulfides Conversion and High Sulfur Loading for Lithium-Sulfur Battery

SSRN

引用

SSRN 2023年

作者： Zhao, Dengke Xu, Zirui Yu, Xiaolong Chen, Minzhe Wu, Oikai Zhou, Kai Zhou, Wei Ma, Liang Wang, Nan School of Materials Science and Engineering Henan Normal University Xinxiang453007 China Guangdong Provincial Key Laboratory of Petrochemical Pollution Processes and Control School of Environmental Science and Engineering Guangdong University of Petrochemical Technology Guangdong Maoming525000 China College of Environment and Energy School of Environment and Energy South China University of Technology Guangzhou Higher Education Mega Center Guangzhou510006 China Center for Advanced Analytical Science School of Chemistry and Chemical Engineering Guangzhou University Guangzhou510006 China Siyuan Laboratory Guangzhou Key Laboratory of Vacuum Coating Technologies and New Energy Materials Department of Physics Jinan University Guangdong Guangzhou510632 China

Simultaneously increasing the sulfur (S) loading and enhancing the adsorption/catalytic capacity towards lithium polysulfides (LiPSs) is necessary to design efficient carbon-based sulfur cathode for lithium-sulfur batteries (LSBs). Herein, two-dimensional reduced graphene nanosheets supported g-C3N4 quantum dots (rGO/g-C3N4 QD) composites are prepared as novel cathode materials for LSBs. Theoretical calculation and characterization show that the rGO/g-C3N4 QD can fully play each other's strengths, where rGO nanosheets with high conductive and abundant mesoporous structure achieve high S utilization and accelerate Li+ /charge transfer, C3N4 QDs with high polar enhances the capture and catalytic capabilities for LiPSs, thus inhibiting the "shuttle effect" and boosting the kinetics. Therefore, the S@rGO/C3N4 QDs cathode displays the excellent initial specific capacity (1013.9 mAh g-1) at 1C and retention capacity (935.2 mAh g-1) after 500 cycles (capacity decay of 0.016% each cycle). Even under high S loadings (16.2 mg cm-2) and poor electrolyte condition (E/S ratio is 6.0 μL/mg), it also delivers the superior initial areal capacity (16.1 mA cm-2). This study enriches the design strategies to cheap and excellent carbon-based S cathode. © 2023, The Authors. All rights reserved.

关键词： Polysulfides

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A String of Tethered Drones - System Dynamics and control

A String of Tethered Drones - System Dynamics and Control

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European Conference on Mobile Robots (ECMR)

作者： Kosarnovsky, B. Arogeti, S. Ministry of Education Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Shanghai P. R. China

ISBN: (纸本)9781728136059

In this paper we present a novel concept of a tethered-drones system. The system includes an arbitrary number of drones connected serially to an active ground station. The considered drones are of quadrotor type. Utilizing a unique pulley-gimbal mechanism, each drone can freely move along the tether and its position is measured with respect to the ground station without the use of standard onboard inertial sensors. The proposed system can be thought of as a robotic arm where each tether section acts as a variable-length link and each drone is a joint actuator. We model the coupled behavior of the ground station and the string, taking into account an arbitrary number of drones. Then, a controller that combines tools from geometric-control and linear-control is suggested. Finally, the concept is demonstrated using numerical simulations, which also illustrate its potential effectiveness.

关键词： Drones DC motors Position measurement Mathematical model Sensors Angular velocity Pulleys

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Automatic Sleep Stage Classification by a Density - Distance- Based K - means Clustering Algorithm with Amendments 12

Automatic Sleep Stage Classification by a Density - Distance...

引用

12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019

作者： Yu, Ying Wang, Bei Jin, Jing Wang, Xingyu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai200237 China

ISBN: (纸本)9781728148526

Sleep staging has important significance for the monitoring, prevention and treatment of sleep disorders. In this study, the clustering algorithm of K-means is investigated in order to realize the automatic sleep stage classification. Unlike the traditional K-means clustering algorithm, density-distance-based processing procedures were presented to determine the cluster centers. Additionally, the clustering results were amended based on the regularity of sleep stages during one's overnight sleep process. The presented algorithm was tested and analyzed in detail with six subjects from the Sleep-EDF database. The averaged accuracy is about 74%. Comparing with the traditional K-means clustering algorithm, the developed algorithm achieved more accurate and reasonable sleep staging results which can be an assistant tool for clinical inspection. © 2019 IEEE.

关键词： Sleep research

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Multi-Convergence-Angle Ptychography with Simultaneous Strong Contrast and High Resolution

arXiv

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arXiv 2024年

作者： Mao, Wei Zhang, Weiyang Huang, Chen Zhou, Liqi Kim, Judy S. Gao, Si Lei, Yu Wu, Xiaopeng Hu, Yiming Pei, Xudong Fang, Weina Liu, Xiaoguo Song, Jingdong Fan, Chunhai Nie, Yuefeng Kirkland, Angus I. Wang, Peng National Laboratory of Solid-State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials College of Engineering and Applied Sciences Collaborative Innovation Centre of Advanced Microstructures Nanjing University Nanjing210093 China Department of Physics University of Warwick CoventryCV4 7AL United Kingdom The Rosalind Franklin Institute Harwell Campus DidcotOX11 0QX United Kingdom Department of Materials University of Oxford Parks Road OxfordOX1 3PH United Kingdom Institute of Materiobiology College of Science Shanghai University Shanghai200444 China College of Materials Science and Engineering Nanjing Tech University Nanjing210009 China Shanghai Key Laboratory of Green Chemistry and Chemical Processes Department of Chemistry School of Chemistry and Molecular Engineering East China Normal University Shanghai200241 China School of Chemistry and Chemical Engineering Frontiers Science Center for Transformative Molecules National Center for Translational Medicine Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Infectious Disease Prevention and Control National Institute for Viral Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing100052 China

Advances in bioimaging methods and hardware facilities have revolutionised the determination of numerous biological structures at atomic or near-atomic resolution. Among these developments, electron ptychography has recently attracted considerable attention because of its superior resolution, remarkable sensitivity to light elements, and high electron dose efficiency. Here, we introduce an innovative approach called multi-convergence-angle (MCA) ptychography, which can simultaneously enhance both contrast and resolution with continuous information transfer across a wide spectrum of spatial frequency. Our work provides feasibility of future applications of MCA-ptychography in providing high-quality two-dimensional images as input to three-dimensional reconstruction methods, thereby facilitating more accurate determination of biological structures. Copyright © 2024, The Authors. All rights reserved.

关键词： Bioimaging

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Quantized Consensus of Linear Multi-Agent Systems Under An Event-triggered Strategy ⁎

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IFAC-PapersOnLine 2020年第2期53卷 1813-1818页

作者： Tinghui Luo Wangli He Wenying Xu The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China School of Mathematics Southeast University Nanjing 21189 China

This paper addresses a quantized consensus problem of general linear multi-agent systems in a symmetric network under an event-triggered scheme. Firstly, a distributed event-triggered strategy is developed with a dynamic threshold to reduce the unnecessary control update. Then, based on absolute quantized state measurements, a distributed controller is proposed and then a consensus criterion is derived, which ensures bounded consensus of linear multi-agent systems. The Zeno behavior is also successfully excluded. Finally, a numerical simulation is presented to validate theoretical results.

关键词： Multi-agent systems quantized consensus event-triggered strategy

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Total plant performance evaluation based on big data: Visualization analysis of TE process

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Chinese Journal of chemical Engineering 2018年第8期26卷 1736-1749页

作者： Mengyao Li Wenli Du Feng Qian Weiming Zhong Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

The performance evaluation of the process industry, which has been a popular topic nowadays, can not only find the weakness and verify the resilience and reliability of the process, but also provide some suggestions to improve the process benefits and efficiency. Nevertheless, the performance assessment principally concentrates upon some parts of the entire system at present, for example the controller assessment. Although some researches focus on the whole process, they aim at discovering the relationships between profit, society, policies and so forth, instead of relations between overall performance and some manipulated variables, that is, the total plant performance. According to the big data of different performance statuses, this paper proposes a hierarchical framework to select some structured logic rules from monitored variables to estimate the current state of the process. The variables related to safety and profits are regarded as key factors to performance evaluation. To better monitor the process state and observe the performance variation trend of the process, a classificationvisualization method based on kernel principal component analysis(KPCA) and self-organizing map(SOM) is established. The dimensions of big data produced by the process are first reduced by KPCA and then the processed data will be mapped into a two-dimensional grid chart by SOM to evaluate the performance status. The monitoring method is applied to the Tennessee Eastman process. Monitoring results indicate that off-line and on-line performance status can be well detected in a two-dimensional diagram.

关键词： Performance evaluation Structured logic rules Hierarchical framework Multidimensional visualization KPCA–SOM

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UCAV Path Planning Based on Improved Chaotic Particle Swarm Optimization

UCAV Path Planning Based on Improved Chaotic Particle Swarm ...

引用

Chinese Automation Congress (CAC)

作者： Pengfei Wu Tao Li Gongfei Song School of Automation Nanjing University of Information Science and Technology Nanjing China Key Laboratory of Advanced Control and Optimization for Chemical Processes Shanghai China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

This paper presents an improved particle swarm optimization (PSO) algorithm based on the chaos of Zaslavskii to solve the path planning problem of Uninhabited Combat Air Vehicle (UCAV) in the threat battlefield. The proposed method uses the characteristics of traditional particle swarm optimization algorithm, such as fast convergence speed, ergodicity, randomness of chaotic motion and sensitivity to initial value. The chaos mapping formula of Zaslavskii is used to generate chaotic sequence and improves the inertia weight and random variables of PSO algorithm. The improved PSO algorithm is applied to bear on the problem of path planning of UCAV. It gradually escapes from the local optimal path and find the global optimal path in the complex and changeable battlefield environment. The simulation results show that the improved PSO algorithm can effectively accelerate the convergence speed and improve the optimal trajectory.

关键词： Particle swarm optimization Convergence Path planning Optimization Heuristic algorithms Standards Chaos

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A Dynamic Event-Triggered Approach to Multi-Agent Consensus

A Dynamic Event-Triggered Approach to Multi-Agent Consensus

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第三十九届中国控制会议

作者： Xianwei Li Yang Tang Shaoyuan Li Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology

This paper focuses on designing dynamic event-triggered(DET) protocols for consensus control of general linear multi-agent systems(MASs). Design algorithms are constructed for DET protocols with static and adaptive coupling, respectively. The designed event-triggering conditions involve internal dynamic variables that depend on the error information of the system, which provide more flexibility to reduce the number of triggered events than the existing results on linear MASs. The protocol with adaptive coupling is of the fully distributed nature. It is proved that the proposed protocols can ensure consensus and are not Zeno. A numerical example is provided to illustrate the effectiveness and advantages of the designed protocols.

关键词： Multi-agent systems Consensus Dynamic event-triggered(DET) protocol Adaptive coupling

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