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15th European Signal Processing Conference, EUSIPCO 2007

作者： Wu, Ligang Lam, James Paszke, Wojciech Galkowski, Krzysztof Rogers, Eric Kummert, Anton Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China Department of Mechanical Engineering University of Hong Kong Pokfulam Road Hong Kong Hong Kong Institute of Control and Computation Engineering University of Zielona Góra 65-246 Zielona Góra Poland Department of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom University of Wuppertal Faculty of Electrical Information and Media Engineering Communication Theory Germany

ISBN: (纸本)9788392134022

The unique characteristic of a repetitive process is a series of sweeps or passes through a set of dynamics defined over a finite duration known as the pass length. At the end of each pass, the process is reset and the next time through the output, or pass profile, produced on the previous pass acts as a forcing function on, an hence contributes to, the dynamics of the new pass profile. They are hence a class of systems with information propagation in two independent directions where here the dynamics over the finite pass length are described by a matrix linear differential equation and that from pass to pass has a discrete updating structure. This means that filtering/estimation theory/algorithms for, in particular, 2D discrete linear systems is not applicable. In this paper we solve a general filtering problem with a view toward use in the many applications where such action will be required. © 2007 EURASIP.

关键词： Dynamics

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Observer-based control of differential linear repetitive processes 9

Observer-based control of differential linear repetitive pro...

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2007 9th European control Conference, ECC 2007

作者： Paszke, Wojciech Galkowski, Krzysztof Rogers, Eric Kummert, Anton Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 Góra65-246 Poland Department of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Faculty of Electrical Information and Media Engineering University of Wuppertal Rainer-Gruenter-Strasse 21 D-42119 Germany

ISBN: (纸本)9783952417386

Repetitive processes are a distinct class of two-dimensional systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or two-dimensional (2D) systems theory. Here we give significant new results on the design of mixed state feedback/output (or pass profile) control schemes incorporating a state observer. These results are for the sub-class of so-called differential linear repetitive processes which arise in applications areas such as iterative learning control. © 2007 EUCA.

关键词： State feedback

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Editorial

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International Journal of Internet Protocol Technology 2007年第1期2卷 1-2页

作者： Mulvenna, Maurice Galis, Alex Dobson, Simon Karmouch, Ahmed School of Computing and Mathematics Faculty of Engineering University of Ulster Newtownabbey BT37 0QB United Kingdom Networks and Services Research Group Department of Electronic and Electrical Engineering University College London Torrington Place London WC1E 7JE United Kingdom Systems Research Group School of Computer Science and Informatics UCD Dublin Belfield Dublin 4 Ireland University of Ottawa 161 Louis Pasteur Ottawa ON K1N 6N5 Canada

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A Study On Iterative Learning control With Adjustment Of Learning Interval For Monotone Convergence In The Sense Of Sup-Norm

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Asian Journal of control 2008年第1期4卷

作者： Kwang-Hyun Park Zeungnam Bien Division of EE Department of EECS Korea Advanced Institute of Science and Technology 373–1 Kusong-dong Yusong-gu Taejon 305–701 Korea. Zeungname Bien:received the B.S. degree in electronics engineering from Seoul National University Seoul Korea in 1969 and the M.S. and Ph.D. degrees in electrical engineering from the University of Iowa Iowa City Iowa U.S.A. in 1972 and 1975 respectively. During 1976–1977 academic years he taught as assistant professor at the Department of Electrical Engineering University of Iowa. Then Dr. Bien joined Korea Advanced Institute of Science and Technology summer 1977 and is now Professor of Control Engineering at the Department of Electrical Engineering and Computer Science KAIST. Dr. Bien was the president of the Korea Fuzzy Logic and Intelligent Systems Society during 1990–1995 and also the general chair of IFSA World Congress 1993 and for FUZZ-IEEE99 respectively. He is currently co-Editor-in-Chief for International Journal of Fuzzy Systems (IJFS) Associate Editor for IEEE Transactions on Fuzzy Systems and a regional editor for the International Journal of Intelligent Automation and Soft Computing. He has been serving as Vice President for IFSA since 1997 and is now Chief Chairman of Institute of Electronics Engineers of Korea and Director of Humanfriendly Welfare Robot System Research Center. His current research interests include intelligent control methods with emphasis on fuzzy logic systems service robotics and rehabilitation engineering and large-scale industrial control systems. Kwang-Hyun Park:received the B.S. M.S. and Ph.D. degrees in electrical engineering and computer science from KAIST Korea in 1994 19997 and 2001 respectively. He is now a researcher at Human-friendly Welfare Robot System Research Center. His research interests include learning control machine learning human-friendly interfaces and service robotics.

It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of λ-norm is guaranteed. In this paper, a new ILC algorithm with adjustment of learning interval is proposed to resolve such an undesirable phenomenon, and it is shown that the output error can be monotonically converged to zero in the sense of sup-norm when the proposed ILC algorithm is applied. A numerical example is given to show the effectiveness of the proposed algorithm.

关键词： Iterative learning control monotone convergence learning interval sup-norm

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An Initial Rotor Position Estimation Method for Switched Reluctance Motor without Using Machine Parameter

An Initial Rotor Position Estimation Method for Switched Rel...

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International Conference on electrical Machines and Systems 2007(ICEMS2007)(第十届国际电机与系统会议)

作者： K. Tungpimolrut S. Kachapornkul P.Somsiri P. Jitkreeyarn Tadashi Fukao Akira Chiba Industrial Control and Automation Laboratory Section National Electronics and Computer Technology C Department of Electrical Engineering Faculty of Science and Technology Tokyo University of Science

In this paper a method to estimate the initial rotor position of the switched reluctance motor (SRM) at the stand still condition is proposed. The proposed method can be implemented by the simple microcontroller based system, and it is not necessary to know the magnetization curves. The impulse gate drive signal is applied and the winding current is detected and its approximate value is used for calculating the rotor position. The compensation method to reduce the estimation error thorough one cycle is also mentioned. The proposed method is implemented with the 6-stator-pole and 4- rotor-pole, 1.5 kW 3-phase switched reluctance motor.

关键词： Switched reluctance motor initial rotor position estimation

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A Hierarchical Clustering Based on Mutual Information Maximization

A Hierarchical Clustering Based on Mutual Information Maximi...

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IEEE International Conference on Image Processing

作者： M. Aghagolzadeh H. Soltanian-Zadeh B. Araabi A. Aghagolzadeh Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran

Mutual information has been used in many clustering algorithms for measuring general dependencies between random data variables, but its difficulties in computing for small size datasets has limited its efficiency for clustering in many applications. A novel clustering method is proposed which estimates mutual information based on information potential computed pair-wise between data points and without any prior assumptions about cluster density function. The proposed algorithm increases the mutual information in each step in an agglomerative hierarchy scheme. We have shown experimentally that maximizing mutual information between data points and their class labels will lead to an efficient clustering. Experiments done on a variety of artificial and real datasets show the superiority of this algorithm, besides its low computational complexity, in comparison to other information based clustering methods and also some ordinary clustering algorithms.

关键词： Mutual information Clustering algorithms Clustering methods Data mining Data structures Density functional theory Computational complexity Entropy Higher order statistics Probability density function

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AUTOMATIC BRAIN TUMOR SEGMENTATION USING TISSUE DIFFISIVITY CHARACTERISTICS

AUTOMATIC BRAIN TUMOR SEGMENTATION USING TISSUE DIFFISIVITY ...

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IEEE International Symposium on Biomedical Imaging

作者： Azadeh Yazdan-Shahmorad Hesamoddin Jahanian Suresh Patel Hamid Soltanian-Zadeh Radiology Department Henry Ford Health System Medical Image Analysis Laboratory Detroit MI USA Electrical and Computer Engineering Department Wayne State University Detroit MI USA Biomedical Engineering Department University of Michigan Ann Arbor MI USA Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424406715;1424406714

Water diffusion measurements have been shown to be sensitive to tissue cellular size, extra cellular volume, and membrane permeability. Therefore, diffusion tensor imaging (DTI) by MRI can be used to characterize highly cellular regions of tumors versus acellular regions, distinguishing cystic regions from solid regions. An automatic segmentation method is proposed in this paper based on a multi-phase clustering algorithm to segment the brain tumors in a feature space extracted from DTI images. The algorithm is applied on images of a total of 20 patients with 4 different types of tumors. The tumor region segmentation was 92% accurate based on the segmentation results using anatomical images and 100% accurate based on biopsy results. In general, the segmentation results obtained by the proposed method revealed a strong agreement with the biopsy results and anatomical images, providing support for the accuracy and robustness of the proposed feature space and the segmentation procedure.

关键词： Neoplasms Image segmentation Diffusion tensor imaging Clustering algorithms Biopsy Permeability measurement Volume measurement Size measurement Biomembranes Magnetic resonance imaging

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Estimation of Fatigue Damage for an Austenitic Stainless Steel (SUS304) Using Magnetic Methods

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AIP Conference Proceedings 2007年第1期894卷 1290-1297页

作者： M. Oka T. Yakushiji Y. Tsuchida M. Enokizono 1Department of Computer and Control Engineering Oita National College of Technology 1666 Maki Oita 870‐0152 Japan 2Department of Mechanical Engineering Oita National College of Technology 1666 Maki Oita 870‐0152 Japan 3Department of Electrical and Electronic Engineering Faculty of Engineering Oita University 700 Dannoharu Oita 870‐1192 Japan

There are some fatigue damage estimation methods of the austenitic stainless steel that uses the martensitic transformation. For instance, they are the remanent magnetization method, the excitation method, and so on. Those two methods are being researched also in our laboratory now. In the remanent magnetization method, it is well known that the relation between fatigue damage and the remanent magnetization is simple, clear, and reproducible. However, this method has the disadvantage to need a special magnetizer. This method cannot be easily used on the site such as the factory. On the other hand, because the special magnetizer is unnecessary, the excitation method can use easily on the site. The output signal of this method is small. In this paper, two fatigue evaluation methods such as the remanent magnetization method and the excitation method are introduced. In addition, we report on the result of comparing the fatigue evaluation performances of two methods.

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Visualization Service Based on Web Services

Visualization Service Based on Web Services

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International Conference on Information Technology Interfaces

作者： Bojan Blazona Zeljka Mihajlovic Ericsson Nikola Tesla d.d. Zagreb Croatia Faculty of Electrical Engineering and Computing Department of Electronics Microelectronics Computer and Intelligent Systems University of Zagreb Zagreb Croatia

ISBN: (纸本)9537138097

Scientific visualization evolved up to the stage where collaborative work in virtual coexistence of various experts becomes unavoidable to identify and solve specific visualization tasks. These problems encouraged us to research and define key aspects of visualization service which will enable collaborative work over the Internet. In this paper we define architecture of the whole system and unified interface for all requirements in such environment. Unified requests are sent to visualization processing unit to execute required visualization routine. Collaborative work on the volumetric medical data is especially demanding task, so we present development of VMI (Visualization of Medical data over Internet) system, where segmentation for visualization is based on joint histogram.

关键词： Web services Data visualization Collaborative work Web and internet services Simple object access protocol IP networks Data security Humans XML Microelectronics

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Self-Organization in Transparent Optical Networks: A New Approach to Security

Self-Organization in Transparent Optical Networks: A New App...

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International Conference on Telecommunications (ConTEL)

作者： N. Skorin-Kapov O. Tonguz N. Puech Department of Telecommunications Faculty of Electrical Engineering and Computing University of Zagreb Croatia GET / Telecom Paris-LTCI-UMR 5141 CNRS Networks and Computer Science Department École Nationale Supérieure des Télécommunications Paris France Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh USA

Self-organization is a phenomenon that has been observed in many real-life complex networks and the associated concepts have been utilized in various branches of science. As capacity requirements in transparent optical networks (TONs) increase, so does their complexity. This in turn makes designing scalable security mechanisms critical, particularly due to the high speeds and transparency inherent in TONs. These security mechanisms should be able to handle unforseen attacks, as well as component faults. In this paper, we explore the possibilities of applying self-organizing concepts to failure management in transparent optical networks. With further investigation, we hope to develop a network architecture which can self-organize into a functional structure in the presence of failures and other changes in the environment. If successful, this could significantly improve the scalability and robustness of such networks.

关键词： Optical fiber networks Biology computing Grid computing Organizing National security computer science computer networks Telecommunication computing Complex networks computer security

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