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IEEE Region 10 International Conference TENCON

作者： Zhouqiang Wang Qi Huang Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control University of Electronic Science and Technology of China (UESTC) Chengdu Sichuan China Dept. of Electrical Engineering Sichuan Engineering Technical College (SCETC) Deyang Sichuan China University of Electronic Science and Technology of China Chengdu CN

ISBN: (纸本)9781479986422

With the polynomial vector space decomposition by using Normal Form theory, the normalized analytical solutions of modal resonance are derived, which solves that the traditional Normal Form solution cannot be easily obtained under resonant condition. Based on the solution, from the viewpoint of whether the modal interaction couples and resonates or not, the nonlinear terms are decomposed into four types, i.e., uncoupled nonresonant terms, coupled nonresonant terms, uncoupled resonant terms and coupled resonant terms. The corresponding modes are categorized into 5 types, i.e., single modes, uncoupled nonresonant modes, coupled nonresonant modes, uncoupled resonant modes and coupled resonant modes. A reduced-order mode reconstruction based on least square method to estimate the coefficients of higher-order interactional modes is proposed. This might be potentially a new approach to cope with the challenge from huge amount of higher-order modes in higher-order nonlinear analysis. Two case studies are presented to analyze the types and reconstructions of the nonlinear modes, 2nd- and 3rd- order terms, which verifies the effectiveness of the proposed approach.

关键词： Mathematical model Power system dynamics Yttrium Couplings Least squares methods Eigenvalues and eigenfunctions

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Face Recognition Based on Low-Rank Matrix Representation 33

Face Recognition Based on Low-Rank Matrix Representation

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第三十三届中国控制会议

作者： NGUYEN Hoang Vu HUANG Rong YANG Wankou SUN Changyin School of Automation Southeast University Faculty of Industrial Technology Tien Giang UniversityMy Tho 860000Viet Nam Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781479947249

Based on the recent success of Low-Rank matrix Representation(LRR),we propose a novel classification method for robust face recognition,named LRR-based Classification(LRRC).By the ideal that if each data class is linearly spanned by a subspace of unknown dimensions and the data are noiseless,the lowest-rank representations of a set of test vector samples with respect to a set of training vector samples have the nature of being both dense for within-class affinity and almost zero for between-class ***,the LRR exactly reveals the classification of the *** experimental results demonstrate that LRRC has competitive with state-of-the-art classification methods.

关键词： Low rank representation,Face recognition,Feature extraction,Classification,Sparse representation

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An adaptive method based on QRCP decomposition for single sample problem

An adaptive method based on QRCP decomposition for single sa...

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Chinese control Conference (CCC)

作者： Changhui Hu Xiaobo Lu Yijun Du Key Laboratory of Measurement and Control of Complex System of Engineering Southeast University Nanjing China

In this paper, an adaptive approximation image reconstruction method based on orthogonal triangular with column pivoting (QRCP) decomposition algorithm is proposed for single sample problem in face recognition. By using QRCP the single sample and its transpose are decomposed to two sets of basis images. Then an adaptive approximation image reconstruction method is proposed to reconstruct two approximation images from the two basis image sets respectively. The single training sample and its two approximation images of each object form a new training set, which can make the fisher linear discriminant analysis (FLDA) be applied to single sample problem in face recognition. The performance of the proposed method is verified on Yale, FERET, and ORL face databases. The experimental results indicate that the proposed method is efficient and outperforms some existing methods which are proposed to overcome the single sample problem.

关键词： Face recognition Databases Face Training Approximation methods Image reconstruction Image recognition

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AHP effectiveness evaluation of electronic warfare command and control system under complex electromagnetic environment

AHP effectiveness evaluation of electronic warfare command a...

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4th International Conference on Materials Science and Information Technology, MSIT 2014

作者： Wang, Guo-Sheng Qi, Zong-Feng The State Key Lab. of Complex Electromagnetic Envi. Effects on Electronics and Information System Luoyang 471003 China Department of Control Engineering Academy of Armored Forces Engineering Beijing 100072 China

ISBN: (纸本)9783038351733

The effectiveness evaluation problem of electronic warfare command and control system (EWCCS) under complex electromagnetic environment is investigated by using the analytic hierarchy process (AHP) method. First, the evaluation hierarchy structures of EWCCS under complex electromagnetic environment are put forward and can be classified into target hierarchy, rule hierarchy and scheme hierarchy. Then, the AHP Algorithm is given as a preliminary knowledge to evaluate the effectiveness evaluation of EWCCS under complex electromagnetic environment. Finally, an effectiveness evaluation example of EWCCS under complex electromagnetic environment is considered by using AHP Algorithm. © (2014) Trans Tech Publications, Switzerland.

关键词： Analytic hierarchy process

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Robust control reconfiguration of resource allocation systems with Petri nets and integer programming

Robust control reconfiguration of resource allocation system...

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作者： Li, Jun Zhou, Mengchu Guo, Tao Gan, Yahui Dai, Xianzhong Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education China School of Automation Southeast University Nanjing 210096 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States

Supervisory control reconfiguration can handle the uncertainties including resource failures and task changes in discrete event systems. It was not addressed to exploit the robustness of closed-loop systems to accommodate some uncertainties in the prior studies. Such exploitation can cost-efficiently achieve reconfigurability and flexibility for real systems. This paper presents a robust reconfiguration method based on Petri nets (PNs) and integer programming for supervisory control of resource allocation systems (RASs) subject to varying resource allocation relationships. An allocation relationship is seen as a control specification while the execution processes requiring resources as an uncontrolled plant. First, a robust reconfiguration mechanism is proposed. It includes updating the P-invariant-based supervisor and evolving the state of the closed-loop system. The latter adapts to the control specification changes by the self-regulation of the closed-loop system's state. Next, two novel integer programming models for control reconfiguration are proposed, called a reconfiguration model with acceptability and reconfiguration one with specification correction. Since both models integrate the firability condition of transitions, no additional efforts are required for the state reachability analysis. Finally, a hospital emergency service system is used as an example to illustrate them. © 2014 Elsevier Ltd. All rights reserved.

关键词： Integer programming

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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A zigbee-based building energy and environment monitoring system integrated with campus GIS

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International Journal of Smart Home 2014年第2期8卷 107-114页

作者： Qian, Kun Ma, Xudong Peng, Changhai Ju, Qing Xu, Mengyuan Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education China School of Automation Southeast University Nanjing 210096 China School of Architecture Southeast University Nanjing 210096 China IIUSE Southeast University Nanjing 210096 China Key Laboratory of Urban and Architectural Heritage Conservation Ministry of Education China

In this paper, the design and development of a Building Energy and Environment Monitoring system (BEEMS) for smart campus applications is proposed. The system is implemented based on distributed sensor nodes using ZigBee technology, which empowers the collection and monitoring of various types of measurements that reflect the energy consumption and environmental status of buildings. These parameters include temperature, humidity, air velocity, sound, bubble globe temperature, TVOC, CO2 concentration, air quality level, et al. The application software system is developed using jQuery-based Ajax general interactive architecture, and further integrated with campus GIS, which offers rich analysis and report functions for monitoring both energy consumption and environment parameters. © 2014 SERSC.

关键词： Energy utilization

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Development and application of a portable 3-axis transient magnetic field measuring system based on AMR sensor

Development and application of a portable 3-axis transient m...

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2013 IEEE International Conference on Smart Instrumentation, measurement and Applications, ICSIMA 2013

作者： Wang, Xiaohua Huang, Qi Lu, Youliang Du, Mo Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control School of Energy Science and Engineering UESTC Chengdu China

ISBN: (纸本)9781479908431

With the development of smart substations, much attention has been focused on the transient magnetic field (TMF) generated during switching operation in substations. In order to study the TMF, a portable integrated system based on Anisotropic Magneto-resistive (AMR) sensor has been developed. The system mainly consists of magnetic probe, sampling card, and industrial computer. A GPS has also been brought in to stamp the TMF events time. This system can record TMF across a bandwidth from DC to 5MHz and a dynamic range from 20mGs to 6Gs for at least 50ms continuously. laboratory tests show that the system linearity is greater than 97%, the measuring error is less than 3% and the verified rising time of input magnetic field reaches 6.4μs. Field applications are presented at last, they show that the TMF is very complex but regular to some extent, and the stable magnetic fields are in conformity with operation theory. In conclusion, the proposed system is high sensitivity, wide dynamic and relatively wide bandwidth, and it is qualified to most applications in substations. © 2013 IEEE.

关键词： Smart power grids

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Online multi-task collaborative filtering for on-the-fly recommender systems 13

Online multi-task collaborative filtering for on-the-fly rec...

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7th ACM Conference on Recommender systems, RecSys 2013

作者： Wang, Jialei Hoi, Steven C.H. Zhao, Peilin Liu, Zhi-Yong School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore State Key Lab of Management and Control for Complex System Chinese Academy of Sciences China

ISBN: (纸本)9781450324090

Traditional batch model-based Collaborative Filtering (CF) approaches typically assume a collection of users' rating data is given a priori for training the model. They suffer from a common yet critical drawback, i.e., the model has to be re-trained completely from scratch whenever new training data arrives, which is clearly non-scalable for large real recommender systems where users' rating data often arrives sequentially and frequently. In this paper, we investigate a novel efficient and scalable online collaborative filtering technique for on-the-fly recommender systems, which is able to effectively online update the recommendation model from a sequence of rating observations. Specifically, we propose a family of online multi-task collaborative filtering (OMTCF) algorithms, which tackle the online collaborative filtering task by exploiting the similar principle as online multitask learning. Encouraging empirical results on large-scale datasets showed that the proposed technique is significantly more effective than the state-of-the-art algorithms. © 2013 ACM.

关键词： Collaborative filtering

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Exploiting robustness in Petri net-based closed-loop systems to accommodate control specification changes

Exploiting robustness in Petri net-based closed-loop systems...

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2013 IEEE International Conference on Automation Science and engineering, CASE 2013

作者： Li, Jun Zhou, Mengchu Dai, Xianzhong Key Laboratory of Measurement and Control of Complex Systems of Engineering China Ministry of Education Automation School of Southeast University Nanjing 210096 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China

ISBN: (纸本)9781479915156

Supervisory control reconfiguration has been paid more attention due to its capacity of handling the uncertainties including resource failures, capability degradation, and task changes in discrete event systems. However, the robustness of closed-loop systems in response to some specification changes was not addressed in the prior studies. This paper presents a reconfiguration method based on Petri nets and integer programming for supervisory control of resource allocation systems with changeable resource allocation relationships (control specifications). First, we propose a reconfiguration mechanism. It updates the P-invariant-based supervisor and evolves the state of the closed-loop system. The latter adapts to the certain changes in specifications by the self-regulation of the closed-loop system's state. It utilizes fully the robustness in a closed-loop system and avoids unnecessary modification of a supervisor. Then, a reconfiguration model with robustness analysis is proposed based on integer programming. By using it, a firing sequence of transitions as a serial of reconfiguration actions can be found. The execution of the sequence implements the state evolution of a closed-loop system. There is no need for making additional efforts to analyze state reachability of the system, since the firability condition of transitions is incorporated into the model. Finally, the method is illustrated through an example of a hospital emergency service system. © 2013 IEEE.

关键词： Closed loop systems

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