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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： Yun Hong-quan XU Li DOU Hao MING De-lie National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing Aerospace Automatic Control Institute State Key Laboratory for Multi-spectral Information Processing Technologies School of AutomationHuazhong University of Science and Technology

ISBN: (纸本)9781467383196

This paper performs research on adaptation analysis based on large amount of multi-source remote sensing *** view of different demands from different task background,the research is firstly focused on how to analyze the data in computer *** achieve this,the feature parameters of target areas are extracted from different target area geographic *** combination of ORACLE database engine,data mining technology is used to carry out the target area adaptation assessment,and extract corresponding adaptation *** test the trained adaptation criteria on multi-source geographic information data of different target *** results show that the resulting criterion has certain coincidence rate and robustness.

关键词： image Research on Adaptation Criteria Generation based on Large Data Mining

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Sensorless Direct Torque control of Permanent Magnet Synchronous Motor Drives Using Polynomial Chaos Theory

Sensorless Direct Torque Control of Permanent Magnet Synchro...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Wenjie Si Zhen Zhang National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing China School of Electrical and Information Engineering Tianjin University Tianjin China

This paper deals with the sensorless direct torque control (DTC) scheme for the permanent magnet synchronous motor (PMSM), where a new estimation algorithm is developed based on the polynomial chaos theory and the extended Kalman filter (EKF) for the sensorless obtaining of the rotor speed, stator flux and electromagnetic torque. The proposed estimator can effectively deal with parametric uncertainties and hence reduce the excessive dependence on the PMSM model of the sensorless DTC control. Additionally, it offers an improved estimation performance in contrast to the traditional EKF. Computational results are also provided to illustrate the feasibility of the proposed method.

关键词： Rotors Estimation Stators Chaos Torque Electromagnetics Couplings

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Vertical Ion Transport: Magazine‐Bending‐Inspired Architecting Anti‐T of MXene Flakes with Vertical Ion Transport for High‐Performance Supercapacitors (Adv. Mater. Interfaces 8/2019)

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Advanced Materials Interfaces 2019年第8期6卷

作者： Ming Lu Wenjuan Han Haojie Li Haibo Li Bingsen Zhang Wei Zhang Weitao Zheng State Key Laboratory of Automotive Simulation and Control School of Materials Science and Engineering Electron Microscopy Center International Center of Future Science Jilin University 2699 Qianjin Street Changchun 130012 China Shenyang National Laboratory for Materials Science Institute of Metal Research Chinese Academy of Sciences 72 Wenhua Road Shenyang 110016 China Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education Jilin Normal University 1301 Haifeng Street Siping 136000 China Key Laboratory of UV‐Emitting Materials and Technology of the Ministry of Education Northeast Normal University 5268 Renmin Street Changchun 130024 China

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Peptide hydrogelation triggered by enzymatic induced pH switch

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science China(Physics,Mechanics & Astronomy) 2016年第7期59卷 76-81页

作者： Wei Cheng Ying Li Nanjing Stomatological Hospital Medical School of Nanjing University Jiangsu Engineering Technology Research Centre of Environmental Cleaning Materials Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution ControlJiangsu Joint Laboratory of Atmospheric Pollution ControlCollaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and EngineeringNanjing University of Information Science &Technology National Laboratory of Solid State Microstructures Nanjing University

It remains challenging to develop methods that can precisely control the self-assembling kinetics and thermodynamics of peptide hydrogelators to achieve hydrogels with optimal *** we report the hydrogelation of peptide hydrogelators by an enzymatically induced pH switch,which involves the combination of glucose oxidase and catalase with D-glucose as the substrate,in which both the gelation kinetics and thermodynamics can be controlled by the concentrations of *** novel hydrogelation method could result in hydrogels with higher mechanical stability and lower hydrogelation *** further illustrate the application of this hydrogelation method to differentiate different D-glucose levels.

关键词： glucose oxidase and catalase peptide hydrogel pH switch mechanical properties

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Sigmoid function based integral-derivative observer and application to autopilot design

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Mechanical Systems and Signal Processing 2017年 84卷 113-127页

作者： Xingling Shao Honglun Wang Jun Liu Jun Tang Jie Li Xiaoming Zhang Chong Shen Key Laboratory of Instrumentation Science & Dynamic Measurement Ministry of Education North University of China Taiyuan 030051 China National Key Laboratory for Electronic Measurement Technology School of Instrument and Electronics North University of China Taiyuan 030051 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China

To handle problems of accurate signal reconstruction and controller implementation with integral and derivative components in the presence of noisy measurement, motivated by the design principle of sigmoid function based tracking differentiator and nonlinear continuous integral-derivative observer, a novel integral-derivative observer (SIDO) using sigmoid function is developed. The key merit of the proposed SIDO is that it can simultaneously provide continuous integral and differential estimates with almost no drift phenomena and chattering effect, as well as acceptable noise-tolerance performance from output measurement, and the stability is established based on exponential stability and singular perturbation theory. In addition, the effectiveness of SIDO in suppressing drift phenomena and high frequency noises is firstly revealed using describing function and confirmed through simulation comparisons. Finally, the theoretical results on SIDO are demonstrated with application to autopilot design: 1) the integral and tracking estimates are extracted from the sensed pitch angular rate contaminated by nonwhite noises in feedback loop, 2) the PID(proportional-integral-derivative) based attitude controller is realized by adopting the error estimates offered by SIDO instead of using the ideal integral and derivative operator to achieve satisfactory tracking performance under control constraint.

关键词： Sigmoid function Integral-derivative observer Drift phenomena Chattering effect Singular perturbation Describing function Autopilot design

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Correction: Synthesis of Bi2WO6/Na-bentonite composites for photocatalytic oxidation of arsenic(iii) under simulated sunlight

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RSC advances 2019年第70期9卷 40810页

作者： Quancheng Yang Yunxiang Dai Zijian Huang Jing Zhang Ming Zeng Changsheng Shi School of Chemical and Environmental Engineering China University of Mining and Technology Beijing 100083 P. R. China. Key Laboratory of Environmental Nano-Technology and Health Effect Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 P. R. China jingzhang@***. Department of Environmental Engineering North China Institute of Science and Technology Beijing 101601 P. R. China northinstitute@***. National Engineering Laboratory for VOCs Pollution Control Materials & Technology University of Chinese Academy of Sciences Beijing 101408 P. R. China.

[This corrects the article DOI: 10.1039/C9RA06181A.].

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Publisher Correction: Tunable correlated Chern insulator and ferromagnetism in a moiré superlattice

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Nature 2020年第7807期581卷 E3页

作者： Guorui Chen Aaron L Sharpe Eli J Fox Ya-Hui Zhang Shaoxin Wang Lili Jiang Bosai Lyu Hongyuan Li Kenji Watanabe Takashi Taniguchi Zhiwen Shi T Senthil David Goldhaber-Gordon Yuanbo Zhang Feng Wang Materials Science Division Lawrence Berkeley National Laboratory Berkeley CA USA. Department of Physics University of California at Berkeley Berkeley CA USA. Department of Applied Physics Stanford University Stanford CA USA. Stanford Institute for Materials and Energy Sciences SLAC National Accelerator Laboratory Menlo Park CA USA. Department of Physics Stanford University Stanford CA USA. Department of Physics Massachusetts Institute of Technology Cambridge MA USA. Key Laboratory of Artificial Structures and Quantum Control (Ministry of Education) School of Physics and Astronomy Shanghai Jiao Tong University Shanghai China. Collaborative Innovation Center of Advanced Microstructures Nanjing China. National Institute for Materials Science Tsukuba Japan. Stanford Institute for Materials and Energy Sciences SLAC National Accelerator Laboratory Menlo Park CA USA. goldhaber-gordon@stanford.edu. Department of Physics Stanford University Stanford CA USA. goldhaber-gordon@stanford.edu. Collaborative Innovation Center of Advanced Microstructures Nanjing China. zhyb@***. State Key Laboratory of Surface Physics and Department of Physics Fudan University Shanghai China. zhyb@***. Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai China. zhyb@***. Materials Science Division Lawrence Berkeley National Laboratory Berkeley CA USA. fengwang76@berkeley.edu. Department of Physics University of California at Berkeley Berkeley CA USA. fengwang76@berkeley.edu. Kavli Energy NanoSciences Institute at the University of California Berkeley and the Lawrence Berkeley National Laboratory Berkeley CA USA. fengwang76@berkeley.edu.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Driving factors of carbon dioxide emissions in China： an empirical study using 2006-2010 provincial data

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Frontiers of Earth science 2017年第1期11卷 156-161页

作者： Yu LIU Zhan-Ming CHEN Hongwei XIAO Wei YANG Danhe LIU Bin CHEN Institute of Policy and Management Chinese Academy of Sciences Beijing 100190 China Department of Energy Economics School of Economics Renmin University of China Beijing 100872 China National Academy of Development and Strategy Renmin University of China Beijing 100872 China Economic Forecasting Department State Information Center Beijing 100045 China School of Economics and Management Beijing University of Chemical Technology Beijing 100029 China School of Humanities and Social Science Beijing Institute of Technology Beijing 100081 China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 China

The rapid urbanization of China has increased pressure on its environmental and ecological well being. In this study, the temporal and spatial profiles of China＇s carbon dioxide emissions are analyzed by taking heterogeneities into account based on an integration of the extended stochastic impacts using a geographically and temporally weighted regression model on population, affluence, and technology. Population size, urbanization rate, GDP per capita, energy intensity, industrial structure, energy consumption pattern, energy prices, and economy openness are identified as the key driving factors of regional carbon dioxide emissions and examined through the empirical data for 30 provinces during 2006-2010. The results show the driving factors and their spillover effects have distinct spatial and temporal heterogeneities. Most of the estimated time and space coefficients are consistent with expectation. According to the results of this study, the heterogeneous spatial and temporal effects should be taken into account when designing policies to achieve the goals of carbon dioxide emissions reduction in different regions.

关键词： carbon dioxide emission heterogeneity space spillover

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Dispersive liquid–liquid microextraction of silver nanoparticles in water using ionic liquid1-octyl-3-methylimidazolium hexafluorophosphate

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Journal of Environmental sciences 2016年第3期28卷 211-217页

作者： Sha Chen Yuanjing Sun Jingbo Chao Liping Cheng Yun Chen Jingfu Liu Key Laboratory of Beijing on Regional Air Pollution Control Beijing University of Technology Chemical Metrology and Analytical Science Division National Institute of Metrology State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of Sciences

Using the ionic liquid（IL）1-octyl-3-methylimidazolium hexafluorophosphate as the extractant and methanol as the dispersion solvent,a dispersive liquid–liquid microextraction method was developed to extract silver nanoparticles（AgN Ps）from environmental water *** that influenced the extraction efficiency such as IL concentration,pH and extraction time were *** the optimized conditions,the highest extraction efficiency for AgN Ps was above 90% with an enrichment factor of 〉*** extracted AgN Ps in the IL phase were identified by transmission electron microscopy and ultraviolet–visible spectroscopy,and quantified by inductively coupled plasma mass spectrometry after microwave digestion,with a detection limit of 0.01 μg/*** spiked recovery of AgN Ps was 84.4% with a relative standard deviation（RSD）of 3.8%（n = 6）at a spiked level of 5 μg/L,and 89.7% with a RSD of 2.2%（n = 6）at a spiked level of 300 μg/L,*** existed environmental ions had a very limited influence on the extraction *** developed method was successfully applied to the analysis of Ag NPs in river water,lake water,and the influent and effluent of a wastewater treatment plant,with recoveries in the range of 71.0%–90.9% at spiking levels of 0.11–4.7 μg/L.

关键词： Silver nanoparticle 1-Octyl-3-methylimidazolium hexafluorophosphate Ionic liquid Dispersive liquid–liquid microextraction

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Fault-tolerant control for unmanned aerial vehicle with wing damaged

Fault-tolerant control for unmanned aerial vehicle with wing...

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Annual Conference of Industrial Electronics Society

作者： Bai-Qing Fan Xiao Zhang Bo Tian Lei Guo School of Automation Science and Electrical Engineering Beihang University Beijing China National Key Laboratory on Aircraft Control Technology Beihang University Beijing China

The flight of unmanned aerial vehicle (UAV) is vulnerable to various disturbances and faults. In this paper, the small damage of the wing of an unmanned aerial vehicle is taken into consideration. The UAV control framework consists of force loop and torque loop, where the nonlinear disturbance observer (NDO) based dynamic inverse (DI) control and the extended state observer (ESO) based dynamic inverse control are employed respectively to control these two loops. The required force and moment are allocated to the steering gear and thrust vector of the UAV. The designed control law can not only make the UAV fly effectively in the presence of a fault, but also meet the demand of UAV for high maneuver flight. Finally, simulation results verify the effectiveness of the proposed method.

关键词： Force Unmanned aerial vehicles Torque Vehicle dynamics Interference Aerodynamics

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