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Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic (vol 11, 5172, 2020)

NATURE COMMUNICATIONS 2020年第1期11卷 5172页

作者： Liu, Zhu Ciais, Philippe Deng, Zhu Lei, Ruixue Davis, Steven J. Feng, Sha Zheng, Bo Cui, Duo Dou, Xinyu Zhu, Biqing Guo, Rui Ke, Piyu Sun, Taochun Lu, Chenxi He, Pan Wang, Yuan Yue, Xu Wang, Yilong Lei, Yadong Zhou, Hao Cai, Zhaonan Wu, Yuhui Guo, Runtao Han, Tingxuan Xue, Jinjun Boucher, Olivier Boucher, Eulalie Chevallier, Frederic Tanaka, Katsumasa Wei, Yiming Zhong, Haiwang Kang, Chongqing Zhang, Ning Chen, Bin Xi, Fengming Liu, Miaomiao Breon, Francois-Marie Lu, Yonglong Zhang, Qiang Guan, Dabo Gong, Peng Kammen, Daniel M. He, Kebin Schellnhuber, Hans Joachim Department of Earth System Science Tsinghua University Beijing China. zhuliu@***. Laboratoire des Sciences du Climat et de l'Environnement LSCE CEA CNRS UVSQ Centre d'Etudes Orme de Merisiers Gif-sur-Yvette France. Department of Earth System Science Tsinghua University Beijing China. Department of Meteorology and Atmospheric Science The Pennsylvania State University University Park PA USA. Department of Earth System Science University of California Irvine 3232 Croul Hall Irvine CA USA. Division of Geological and Planetary Sciences California Institute of Technology Pasadena CA USA. Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science & Technology Nanjing China. Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China. Climate Change Research Center Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China. Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China. School of Environment Tsinghua University Beijing China. School of Mathematical School Tsinghua University Beijing China. Department of Mathematical Sciences Tsinghua University Beijing China. Center of Hubei Cooperative Innovation for Emissions Trading System Wuhan China. Institut Pierre-Simon Laplace Sorbonne Université / CNRS Paris France. Université Paris Dauphine Place du Maréchal de Lattre de Tassigny 75016 Paris France. Center for Energy and Environmental Policy Research Beijing Institute of Technology Beijing China. Department of Electrical Engineering the State Key Lab of Control and Simulation of Power Systems and Generation Equipment Institute for National Governance and G

A Correction to this paper has been published: https://***/10.1038/s41467-020-20254-5

关键词： Climate sciences Atmospheric science Environmental sciences Environmental social sciences

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Minimal eventually positive realizations of externally positive systems

Minimal eventually positive realizations of externally posit...

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作者： Altafini, Claudio Division of Automatic Control Department of Electrical Engineering Linköping University SE-58183 Sweden

It is a well-known fact that externally positive linear systems may fail to have a minimal positive realization. In order to investigate these cases, we introduce the notion of minimal eventually positive realization, for which the state update matrix becomes positive after a certain power. Eventually positive realizations capture the idea that in the impulse response of an externally positive system the state of a minimal realization may fail to be positive, but only transiently. As a consequence, we show that in discrete-time it is possible to use downsampling to obtain minimal positive realizations matching decimated sequences of Markov coefficients of the impulse response. In continuous-time, instead, if the sampling time is chosen sufficiently long, a minimal eventually positive realization leads always to a sampled realization which is minimal and positive. © 2016 Elsevier Ltd.

关键词： Impulse response

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Design and initial study of porous core electromagnet for levitation applications

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AIP Conference Proceedings 2018年第1期2029卷

作者： Adam Piłat Bartosz Sikora 1AGH University of Science and Technology Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Automatic Control and Robotics Mickiewicza 30 30-059 Krakow Poland

A concept of the porous core electromagnet is studied. The form for the electromagnet core was printed using 3D technique. The core was manufactured manually using iron filings and cured in room temperature and air pressure. The aim of this paper is to deliver initial analysis of the proposed powder core together with the modelling procedure by the using finite element method, and to compare the experimental results of the manually manufactured electromagnet. The material property of the numerical model was adjusted to fit the experimental results. Finally, the electromagnet was tested in the levitation real–time experiment.

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Fault diagnosis for multi-energy flows of energy internet: Framework and prospects

Fault diagnosis for multi-energy flows of energy internet: F...

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2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017

作者： Wang, Tao Wang, Jun Fan, Zhennan Wei, Xiaoguang Zang, Tianlei Pérez-Jiménez, Mario J. Huang, Tao School of Electrical Engineering and Electronic Information Sichuan Province Key Laboratory of Power Electronics Energy-saving Technologies and Equipment Key Laboratory of Fluid and Power Machinery Ministry of Education Xihua University Chengdu China School of Electrical Engineering Southwest Jiaotong University Chengdu China State Key Laboratory of Security Control and Simulation of Power Systems and Large Scale Generation Department of Electrical Engineering Tsinghua University Beijing China Research Groupon Natural Computing Department of Computer Science and Artificial Intelligence University of Sevilla Sevilla Spain Department of Energy Politecnico di Torino Torino Italy

ISBN: (纸本)9781538614273

Energy Internet (EI) is an inevitable development trend of energy systems under the background of technology development, environmental pressure and energy transition. Multi-energy flow coupling is one of the key characteristics of the EI, which enhances the interoperability of different types of energy flows while consequently increases the probability of cascading failures. Therefore it is of great significance to study the multi-energy flow fault diagnosis of the EI to ensure its safe and stable operation as well as the continuous energy supply. This paper introduces the concept of multi-energy flow cascading fault of the EI for the first time. The energy internet framework for multi-energy flow cascading fault diagnosis is firstly proposed, and then characteristics of various energy networks in the EI are analyzed from the perspective of fault diagnosis. Finally, future research prospects are discussed. © 2017 IEEE.

关键词： Failure analysis

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Taming asynchrony for attractor detection in large boolean networks (Technical report)

arXiv

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arXiv 2017年

作者： Mizera, Andrzej Pang, Jun Qu, Hongyang Yuan, Qixia Faculty of Science Technology and Communication University of Luxembourg Interdisciplinary Centre for Security Reliability and Trust University of Luxembourg Department of Automatic Control & Systems Engineering University of Sheffield

Boolean networks is a well-established formalism for modelling biological systems. A vital challenge for analysing a Boolean network is to identify all the attractors. This becomes more challenging for large asynchronous Boolean networks, due to the asynchronous updating scheme. Existing methods are prohibited due to the well-known state-space explosion problem in large Boolean networks. In this paper, we tackle this challenge by proposing a SCCbased decomposition method. We prove the correctness of our proposed method and demonstrate its efficiency with two real-life biological networks. Copyright © 2017, The Authors. All rights reserved.

关键词： Biological systems

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Optimal power flow calculation in AC/DC hybrid power system based on adaptive simplified human learning optimization algorithm

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Journal of Modern Power systems and Clean Energy 2016年第4期4卷 690-701页

作者： Jia CAO Zheng YAN Xiaoyuan XU Guangyu HE Shaowei HUANG The Ministry of Education Key Laboratory of Control of Power Transmission and Conversion Department of Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China

This paper employs an efficacious analytical tool,adaptive simplified human learning optimization(ASHLO)algorithm,to solve optimal power flow(OPF)problem in AC/DC hybrid power system,considering valve-point loading effects of generators,carbon tax,and prohibited operating zones of generators,*** algorithm,involves random learning operator,individual learning operator,social learning operator and adaptive *** compare and analyze the computation performance of the ASHLO method,the proposed ASHLO method and other heuristic intelligent optimization methods are employed to solve OPF problem on the modified IEEE 30-bus and 118-bus AC/DC hybrid test *** results indicate that the ASHLO method has good convergent property and ***,the impacts of wind speeds and locations of HVDC transmission line integrated into the AC network on the OPF results are systematically analyzed.

关键词： Adaptive simplified human learning optimization algorithm Optimal power flow AC/DC hybrid power system Valve-point loading effects of generators Carbon tax Prohibited operating zones

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Predicting Charpy Impact Energy for Heat-Treated Steel using a Quantum-Membership-Function-based Fuzzy Model

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IFAC-PapersOnLine 2016年第20期49卷 138-142页

作者： Muscat, R. Mahfouf, M. Department of Automatic Control and Systems Engineering The University of Sheffield Mappin St. SheffieldS1 3JD United Kingdom

This study employs quantum membership functions in a neuro-fuzzy modelling structure to model a complex data set derived from the Charpy impact test of heat treated steel for predicting Charpy energy. This is a challenging modelling problem because although the test is governed by a specific standard, several sources of disturbance give rise to uncertainty in the data. The data are also multidimensional, sparsely distributed and the relation between the variables and the output is highly nonlinear. Results are encouraging, with further investigation necessary to better understand quantum membership functions and the effect that quantum intervals have when modelling highly uncertain data. © 2016

关键词： Membership functions Charpy impact testing Statistical tests Uncertainty analysis Charpy energy Charpy impact energy Complex datasets Fuzzy modeling Fuzzy modelling Neuro fuzzy modelling Uncertain datas

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A Routing Optimization Model for EMS of Power systems Considering Cyber-Physical Interdependence

A Routing Optimization Model for EMS of Power Systems Consid...

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IEEE Conference on Energy Internet and Energy System Integration

作者： Luo Xu Qinglai Guo Hongbin Sun Zhuo Su State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University Guangdong Province Power Dispatching and Control Center

ISBN: (纸本)9781538614280

The development of smart grids makes the dependence of power systems on information systems increasing. However, the optimal routing of power communication networks does not mean the routing for power systems is optimal. Besides, power communication networks are different from ordinary, public communication networks, as the secondary system of power systems, the primary purpose is to ensure the reliability of power systems. Based on the cyber-physical sensitivity analysis, the importance of information flow can be evaluated. Then, a dynamic CPS optimal routing model distinguishing the importance of information flow is proposed to configure more reliable and shorter path to higher importance information flow. Case study on different scenarios of a modified IEEE 14-bus system demonstrates the validity of the proposed routing optimization model.

关键词： Cyber-physical system (CPS) EMS Information-energy model Optimal routing model Power communication network

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Development of Predictive control System Using Just-In-Time Modeling and Enthalpy-Aware control in Air Conditioners for Large-Scale Data Center

Development of Predictive Control System Using Just-In-Time ...

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International Conference on control, Automation and systems

作者： Hiroshi Endo Shigeto Suzuki Hiroyoshi Kodama Takeshi Hatanaka Hiroyuki Fukuda Masayuki Fujita Department of Systems and Control Engineering Tokyo Institute of Technology 2-12-1 S5-26 Ookayama Meguro-ku Tokyo Japan Computer Systems Laboratories Fujitsu Laboratories Ltd. 4-1-1 Kamiodanaka Nakahara-ku Kawasaki Kanagawa Japan Division of Electrical Osaka University 2-1 E2-414 Yamada-oka Suita Osaka Japan

ISBN: (纸本)9781538670804;9788993215168

In this research, we propose an energy-efficient predictive control system with outside-air-introduced-type air conditioner in large-scale data center. The system consists of two parts;a predictive part and a control part. We propose to use a dynamic model construction technique called just-in-time (JIT) modeling in the predictive part. It can estimate the air temperature and humidity in the DC room and temperature at the inlet of servers at a high accuracy while the update of data center model is constructed naturally. We also propose to use a control algorithm that utilizes air enthalpy at outside and DC room in addition to the air temperature and humidity in the control part. Owing to the enthalpy, we achieve an effective energy-saving with both wet and dry air. We introduced this predictive control system to a large-scale data center and had verified the improvement in the energy-saving performance for few month. The air temperature and humidity after one hour could be successfully estimated with an accuracy of correlation coefficient of 0.97 or more using the proposed JIT modeling. Furthermore, we demonstrated that the power consumption of the DC room was significantly reduced by 28.9% using the proposed control algorithm compared to that of the conventional control algorithm.

关键词： Data center Modeling Predictive control DCIM JIT modeling Energy-saving

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IEEE standard review — Ethically aligned design: A vision for prioritizing human wellbeing with artificial intelligence and autonomous systems

IEEE standard review — Ethically aligned design: A vision f...

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IEEE Canada International Humanitarian Technology Conference (IHTC)

作者： Kyarash Shahriari Mana Shahriari Senior Control Systems Engineer Aversan Inc. ON Canada Department of Electrical and Computer Engineering Laval University QC Canada

In September 2009, the IEEE Board of Directors approved the new IEEE tagline - Advancing Technology for Humanity - as recommended by the IEEE Public Visibility Committee. Aligned with the IEEE tagline, IEEE Standards Association takes the initiative to address ethics in engineering design under “Ethically Aligned Design: A Vision for Prioritizing Human Wellbeing with Artificial Intelligence and Autonomous systems” focusing on Artificial Intelligence and Autonomous systems (AI/AS). The intention is to cover, as much as possible, the ethical concerns on AI/AS through a rigorous regard to the problem from different perspectives. The ultimate objective of this ongoing initiative is to provide guidelines/procedures/standards to prioritize human wellbeing in the forthcoming evolutions on artificial intelligence and autonomous systems. This article reviews different aspects addressed in Version 1 of this initiative.

关键词： Ethics Autonomous systems Safety IEEE Standards IEEE Standards Association

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