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第35届中国控制会议

作者： Zhiyun Zhao Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781509009107

This paper studies the problem of global leader-following consensus of a group of discrete-time general linear systems with bounded *** construct a bounded state feedback control law for each follower agent in the group by using a multihop relay protocol,in which the agent obtains the information of other agents through multi-hop paths in the communication *** number of hops each agent uses to obtain its information about other agents for an input is less than or equal to the sum of the number of real eigenvalues on the unit circle and the number of pairs of complex eigenvalues on the unit circle of the sub-system corresponding to the input,and the feedback gains are constructed from the adjacency matrix associated with the communication *** show that these control laws achieve global leader-following consensus when the communication topology is a strongly connected and detailed balanced directed graph and the leader is a neighbor of at least one follower agent.

关键词： Cooperative control consensus multi-agent systems discrete-time bounded controls

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Detailed design and control of three-phase aviation inverter

Detailed design and control of three-phase aviation inverter

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IEEE International Conference on Aircraft Utility systems (AUS)

作者： Yu Cao Yonggang Song Xiaobin Zhang Weilin Li Electrical system Laboratory North Western Polytechnical University Xi'an China Aircraft electric power department Chinese Flight Test Establishment Department of electrical engineering Northwestern polytechnical university School of Automation Northwestern Polytechnical University Xi'an Shaanxi China

ISBN: (纸本)9781509010882

A new control method for three-phase-bridge inverter with improved neutral forming transformer (INFT) is presented in this paper. The controlling PWM signal is obtained by combining the switching point preset PWM and unipolar SPWM, and the fundamental and harmonic content of the controlling signal are analyzed. By analysis of the relationship of phasor voltage of neutral forming transformer, an improved neutral forming transformer with a boost function is proposed. Based on the strategies previously mentioned, the topologies and design methods of three-phase aviation inverter with high DC voltage input is given. The simulation and experimental results have confirmed the validity of the design methods.

关键词： Pulse width modulation Inverters Switches Voltage control Harmonic analysis power harmonic filters

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Application of online impulse technique to diagnose inter-turn short circuit in transformer windings

Application of online impulse technique to diagnose inter-tu...

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Australasian Universities power engineering Conference, AUPEC

作者： Bahar Mohseni Naser Hashemnia Syed Islam Zhongyong Zhao Department of Electrical & Computer Engineering Curtin University Perth Western Australia State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing China

ISBN: (纸本)9781509014064

Inter-turn short circuit fault is a significant problem in power transformers which if not detected at early stages, can propagate in power networks and eventually burgeon into catastrophic faults and substantial costs. Online frequency response analysis (FRA) is well on its way of becoming a reliable tool for condition monitoring and fault detection of transformer since no disconnection is required to conduct the test. Among the two existing FRA methods, sweep frequency response analysis (SFRA) and impulse frequency response analysis (IFRA), IFRA has reached the potential for online application. This contribution aims to detect inter-turn short circuit fault through online transfer function monitoring of the power transformer winding using the impulse technique, a method which utilizes a capacitive coupling circuit to inject a controlled high voltage nanosecond pulse into the transformer winding. To this end, 3D finite element electromagnetic analysis and transformer equivalent high frequency electrical model have been used as auxiliary tools to precisely emulate the real transformer operation and investigate the impact of inter-turn short-circuit faults on the transformer equivalent circuit parameters and thereby, transformer online FRA signature. Simulations were performed with two different levels of inter-turn fault severity. The results show that inter-turn short circuit can be effectively detected with the transformer in service using the impulse method.

关键词： Windings power transformer insulation Circuit faults Insulators Integrated circuit modeling Current transformers

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Dual-Tone Radio Interferometric Positioning systems for Multi-Target Localization Using a Single Mobile Anchor

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China Communications 2015年第1期12卷 25-35页

作者： LI Li'an WANG Yiyin MA Xiaoli CHEN Cailian GUAN Xinping Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China School of Electrical & Computer Engineering Georgia Institute of Technology

In this paper, a low-cost dualtone radio interferometric positioning system using a single mobile anchor is proposed to locate multiple targets at the same time. We name it mDRIPS. In mDRIPS, each target continuously transmits a dual-tone signal with its dedicated frequencies, and the mobile anchor receives the signals at different positions along its trajectory, Neither time synchronization between the mobile anchor and the targets nor time synchronization among the targets is required. We take the instability of targets clocks into consideration and develop an ESPRIT-type algorithm to estimate frequencies of each dual-tone signal. Furthermore, the time of arrival （TOA） of each target signal is extracted from the phase estimates of the received dual-tone signals. After measuring several TOAs at different locations along the anchor＇s trajectory, each target can be located. Since the frequency difference of the two tones of each dualtone signal is designed to be smaller than the channel coherence bandwidth, the same fading effect on these two tones can be eliminated. Moreover, the integer ambiguity problem due to phase wrapping is investigated, and a localization algorithm to deal with a simplified ambiguity problem is proposed. Numerical results demonstrate the efficiency of the proposed mDRIPS.

关键词： ranging localization mobile anchor radio interferometry oscillator instability

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Joint Optimization of Content Caching and Push in Renewable Energy powered Small Cells

Joint Optimization of Content Caching and Push in Renewable ...

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Ad-Hoc and Sensor Networks Symposium

作者： Jie Gong Sheng Zhou Zhenyu Zhou Zhisheng Niu School of Data and Computer Science Sun Yat-sen University Tsinghua National Laboratory for Information Science and Technology Department of Electronic Engineering Tsinghua University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Electrical and Electronic Engineering North China Electric Power University

ISBN: (纸本)9781479966653

In this paper, we explore the content information to design the joint caching and push mechanism in the small-cell base stations (SBSs) powered by renewable energy. The problem is formulated as a Markov decision process by exploring the features of content popularity and renewal and by taking into consideration the energy consumption for both content fetch from core network and push to the users. The objective is to minimize the number of requests which cannot be met by the SBSs. We adopt the policy iteration algorithm to obtain the optimal caching and push policy. According to the numerical results, the performance gain with large SBS cache size is marginal due to the limited energy. We also find that the optimal policy reveals noticeable performance gain compared with the greedy fetch policy and the non-push policy. In addition, simulations shows the tradeoff between the number of cached contents in the SBS and the available energy for content push.

关键词： Renewable energy sources Energy consumption Unicast Optimization Energy states Batteries Resource management

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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Research on influence between photovoltaic power and module temperature and ambient temperature

Research on influence between photovoltaic power and module ...

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International Conference on power system Technology (powerCON)

作者： Bo Wang Zheng Wang Yujing Sun Fei Wang Zhao Zhen Mi Zengqiang Hui Ren China Electric Power Research Institute (CEPRI) Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Baoding China Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana U.S.

The photovoltaic (PV) module temperature (T m ) and ambient temperature (T a ) are both important factors to PV power output (P), but are often confused with each other or even ignored. In this paper, the physical analysis methods and mathematical analysis methods are utilized to research the differences and similarities of two temperatures in effecting of PV power output. Firstly, based on PV effect theory, energy balance equation and heat transfer theory, the relationship between three variables is analyzed in physical. Secondly, in mathematical aspect, correlation coefficient and information entropy are utilized to analyze the correlation between T m and P as well as T a and P in the whole year and four kinds of weather types based on actual data of a grid-connected 500kW PV system. The results indicate that, other things equal, T m is a more direct and stronger factor than T a .

关键词： Temperature Correlation Correlation coefficient Information entropy Meteorology Photovoltaic systems

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Damping torque analysis of a UPFC installed in a real Chinese power grid

Damping torque analysis of a UPFC installed in a real Chines...

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IEEE PES Asia-Pacific power and Energy engineering Conference (APPEEC)

作者： Jianpeng Zhang Wenjuan Du Haifeng Wang Xu Wang Lingling Fan State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China State Grid Corporation of China Jiangsu Electric Power Corporation Nanjing China Department of Electrical and Computer Engineering North Dakota State University Fargo USA

ISBN: (纸本)9781509054190

A real Chinese power grid where a vector controlled unified power flow controller (UPFC) has just been installed is researched in this paper. Firstly, the principle of vector control strategy is presented. Then the linearized model of the power grid is established. Based on the model, damping torque analysis (DTA) method is described. By using the DTA method, the best channel to install the damping controller on the vector controlled UPFC has been picked out. Finally, both the modal analysis method and nonlinear simulation have been used to validate this result of channel choice to install the damping controller in the real power grid. Furtherly, this paper presents a comparison of the different damping characteristics of UPFC with phase angle and vector control strategy respectively. Finally, it is found that the damping controller installed on vector controlled UPFC is less effective to provide damping than the phase angle controlled one.

关键词： Damping Generators Oscillators Voltage control Indexes Reactive power Fans

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Complex system optimization for economic emission load dispatch

Complex system optimization for economic emission load dispa...

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UKACC International Conference on Control (CONTROL)

作者： Haiping Ma Zhile Yang Pengcheng You Minrui Fei Department of Electrical Engineering Shaoxing University Shaoxing China Department of Control Zhejiang University Hangzhou China School of Electronics Electrical Engineering and Computer Science Queen's University Belfast Belfast UK Shanghai Key Laboratory of Power Station Automation Technology Shanghai University Shanghai China

This paper proposes a complex system optimization method to solve economic emission load dispatch. First, a real-world economic emission load dispatch is modeled as a complex system problem, and the optimization objectives include economic load dispatch, emission load dispatch and transmission network loss. Then a called BBO/complex method is introduced, which extends biogeography-based optimization to a multi-archipelago environment to suit the structure of complex systems. Finally, the proposed method is applied to the economic emission load dispatch, and the results show that it can obtain good performance for economic emission load dispatch studied in this paper, and it is a competitive algorithm for solving complex system optimization problem.

关键词： Complex systems Propagation losses Economics power systems Optimization methods Linear programming

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Attitude synchronization of multiple rigid bodies in SE(3) over proximity networks

Attitude synchronization of multiple rigid bodies in SE(3) o...

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第35届中国控制会议

作者： Juan Deng Zhixin Liu Lin Wang John S.Baras Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceCAS Department of Automation Shanghai Jiao Tong Universityand the Key Laboratory of System Control and Information ProcessingMinistry of Education Department of Electrical and Computer Engineering and the Institute for Systems Research University of MarylandCollege Park

ISBN: (纸本)9781509009107

This paper investigates the attitude synchronization of a group of moving rigid bodies whose states including positions and rotation matrices evolve in the Lie group SE(3).The commonly used circular neighborhood is adopted,and the neighbor graphs are described by proximity *** order to avoid introducing discussions on the abrupt changes of neighbor graphs,a dwell time is *** distributed sampled-data control law for the angular velocity is *** the assumptions on the initial states,we provide sufficient conditions for the attitude synchronization of multiple rigid body *** with the existing results,our condition depends only on the neighborhood radius,the moving velocity and the dwell time.

关键词： rigid body SE(3) attitude synchronization sampled-data control proximity network

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