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40th EASD Annual Meeting of the European Association for the Study of Diabetes : Munich, Germany, 5-9 September 2004

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Diabetologia 2004年第SUPPL 1期47卷 A1-A464页

作者： Veitenhansl, M. Stegner, K. Hierl, F.-X. Dieterle, C. Feldmeier, H. Gutt, B. Landgraf, R. Garrow, A. P. Vileikyte, L. Findlow, A. Waterman, C. Boulton, A. J. M. Shankhdhar, K. Shankhdhar, L. Shankhdhar, U. Petrova, N. L. Foster, A. V. M. Edmonds, M. E. Ferraresi, R. Caravaggi, C. De Giglio, R. Cavaiani, P. Pogliaghi, I. Sommariva, E. Katz, I. A. Harlan, A. Miranda-Palma, B. Prieto-Sanchez, L. Armstrong, D. G. Bowker, J. H. Mizel, M. S. Cernea, S. Wohlgelernter, J. Kidron, M. Modi, P. Raz, I. Arbit, E. Nosek, L. Kapitza, C. Beckett, P. Gelfand, R. Goldberg, M. Heise, T. Testa, M. A. Turner, R. R. Hayes, J. F. Scranton, R. E. Simonson, D. C. Yang, Y.-W. Hsu, Y.-J. Naujok, O. Francini, F. Jörns, A. Tiedge, M. Lenzen, S. Abdel-Wahab, Y. H. A. Marenah, L. Orr, D. F. Shaw, C. Flatt, P. R. Chokkalingam, K. Mansell, P. I. Clausen, P. Ekbom, P. Damm, P. Feldt-Rasmussen, U. Nielsen, B. Mathiesen, E. R. Feldt-Rasmussen, B. Dewan, S. Da Silva, N. Ternan, P. Mc Leong, K. S. Wilding, J. P. H. Asatiani, N. Kurashvili, R. Dundua, M. Shelestova, E. Pagava, K. Ramazashvili, M. Hod, M. Smirnov, S. Petersen, J. L. A. Justesen, T. I. Ringholm Nielsen, L. Müller, C. Højlund, K. Wensaas, A. Kase, E. T. Aas, V. Rustan, A. C. Thoresen, G. H. Levin, K. Beck-Nielsen, H. Gaster, M. Im, S.-S. Kang, S.-Y. Kim, S.-Y. Ahn, Y.-H. Lihn, A. S. Schmoll, D. Werner, T. Kienitz, A. Meyer, M. Barthel, A. Ailett, F. Sutherland, C. Walther, R. Grempler, R. Sasson, S. Reich, R. Tenenbaum, T. Alpert, E. Anfossi, G. Russo, I. Traversa, M. Massucco, P. Mattiello, L. Doronzo, G. Trovati, M. Lally, S. Tan, C. Y. Owens, D. Tomkin, G. H. Porchay, I. Péan, F. Bellili, N. Betoulle, D. Balkau, B. Tichet, J. Marre, M. Fumeron, F. Chatellier, G. Alhenc-Gelas, F. Nichols, G. A. Brown, J. B. Hayes, R. P. Bowman, L. Drexel, H. Saely, C. H. Marte, T. Benzer, W. Langer, P. Hoefle, G. Moll, W. Aczel, S. Karagiannis, E. Lübben, G. Urquhart, R. Edwards, G. Bruce, S. Howlett, H. S. C. Cugnardey, N. Turner, K. C. Park, J.-S. Fiedorek, F. T. Avogaro, A. Gallo, A. Pinton, P. Riz Innenstadt Klinikum der Universität München München Germany Diabetes Center Medizinische Klinik München Germany Medicine The University of Manchester Manchester UK Medicine University of Manchester Manchester UK Podiatry The University of Salford Manchester UK Department of Medicine/Division of Endocrinology Diabetes and Metabolism University of Miami Miami USA Department of Medicine Manchester Royal Infirmary Manchester UK Podiatry L.K.Diabetes Centre Lucknow India Diabetology L.K.Diabetes Centre Lucknow India Medical Nutrition L.K.Diabetes Centre Lucknow India Diabetic Foot Clinic King’s College Hospital London UK Haemodinamic Department - Cardiovascular Division Magenta Hospital Milan Italy Center for the Study and Treatment of Diabetic Foot Pathology Abbiategrasso Hospital Milan Italy Center for the Study and Treatment of Diabetic Foot Pathology Abbiategrasso Hospital Abbiategrasso Italy Department of Orthopedics University of Miami Miami USA Department of Surgery Southern Arizona Veterans Affairs Medical Center Tucson USA Surgery Southern Arizona VA Medical Center Tucson USA Podiatric Medicine and Surgery Rosalind Franklin University School of Medicine and Science North Chicago USA Diabetes Department Center of Diabetes Nutrition and Metabolic Disorders Clug-Napoca Romania Diabetes Unit Hadassah University Hospital Jerusalem Israel Diabetes Unit Hadassah Hebrew University Hospital Jerusalem Israel Research Department Generex Biotechnology Corporation Toronto Canada Hadassah Hebrew University Hospital Jerusalem Israel Medical Research Emisphere Technologies Inc. New York USA Profil Institut fuer Stoffwechselforschung GmbH Neuss Germany Profil Institute for Metabolic Research Neuss Germany Management Profil Inst. für Stoffwechselforschung Düsseldorf Germany Institute for Metabolic Research Profil Neuss Germany Biostatistics Harvard School of Public Health Boston USA Clinical Research Phase V Technologies Wellesley Hills US

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Intelligent user-support system for modeling and simulation

Intelligent user-support system for modeling and simulation

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IEEE International Symposium on Computer Aided control System Design, CACSD 2002

作者： Ševčenko, M. Mann, H. Department of Computer Science Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Computing and Information Centre Czech Technical University Prague Czech Republic

ISBN: (纸本)078037388X

The aim of this project is to exploit artificial intelligence research outcomes to provide a multifaceted support for users of modeling and simulation techniques, reducing thus the time required to learn the techniques and enhancing the efficiency of the users' work or study. The developed system is freely available across the Internet. © 2002 IEEE.

关键词： Software engineering

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Increasing accuracy of frequency estimation by decimation 11

Increasing accuracy of frequency estimation by decimation

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11th European Signal Processing Conference, EUSIPCO 2002

作者： Niedzwiecki, Maciej Klaput, Tomasz Kaczmarek, Piotr Faculty of Electronics Telecommunications and Computer Science Department of Automatic Control Technical University of Gdańsk ul. Narutowicza 11/12 Gdańsk Poland

The problem of estimation of a frequency of a complex sinusoidal signal buried in white measurement noise is considered. It is shown that, for a fixed model order, the variance of the autoregressive frequency estimates can be significantly reduced if the signal is decimated prior to modeling. To obtain comparable results by means of processing the signal in the original time scale, one may be forced to use autoregressive models of very high orders. Therefore the major advantage of decimation is dramatic reduction in computation. © 2002 EUSIPCO.

关键词： Frequency estimation

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Intelligent user-support system for modeling and simulation

Intelligent user-support system for modeling and simulation

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IEEE International Symposium on Computer Aided control System Design (CACSD)

作者： M. Sevcenko H. Mann Department of Computer Science Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Computing and Information Centre Czech Technical University Prague Czech Republic

关键词： Intelligent systems Computational modeling Internet Steady-state Computer simulation Knowledge engineering Vocational training Industrial training Software packages Search engines

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Robust design in delta domain for SISO plants: PI and PID controllers

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Systems Analysis Modelling Simulation 2002年第1期42卷 49-69页

作者： Suchomski, Piotr Department of Automatic Control Faculty of Electronics Telecommunication and Computer Science Technical University of Gdańsk Narutowicza 11/12 80-952 Gdańsk Poland

This paper is concerned with a unified methodology for sub-optimal design of proportional-integral and proportional-integral-derivative delta domain controllers for SISO plants. Problems of how to satisfy both the nominal as well as robust closed-loop stability and performance are also addressed. The resulting robust delta domain controllers of assumed simple structure can thus be recognised as ones that provide the required stability margin for maximally achievable closed-loop bandwidth in the presence of plant uncertainty. The method is illustrated by numerical examples. © 2002 Taylor & Francis Ltd.

关键词： Systems analysis

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Neurofuzzy model based l/sub /spl infin// predictive control of nonlinear CSTR system

Neurofuzzy model based l/sub /spl infin// predictive control...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Q. Wu Y.J. Wang Q.M. Zhu K. Warwick Department of Control Science and Engineering CNCS Huazhong University of Science and Technology Wuhan China Faculty of Engineering Computing and Mathematics University of Western England Bristol UK Department of Cybernetics University of Reading Reading UK

In this paper the nonlinear dynamics of a continuously stirred tank reactor (CSTR) are modelled with a neuro-fuzzy network, so that a predictive control strategy is developed based on the l/sub /spl infin// norm performance. Stability of the closed loop system is proved that the system is stable if each local linear control system is closed loop stable. The pH control in neutralisation process within the CSTR was simulated to indicate that the control performance is superior to that from quadratic predictive control.

关键词： Continuous-stirred tank reactor Predictive models Predictive control Nonlinear dynamical systems Inductors Fuzzy neural networks Stability Closed loop systems control systems Process control

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Complexity reduction in MPC for stochastic max-plus-linear systems by variability expansion

Complexity reduction in MPC for stochastic max-plus-linear s...

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IEEE Conference on Decision and control

作者： T.J.J. van den Boom B. De Schutter B. Heidergott Control Systems Engineering Faculty of Information Technology and Systems Delft University of Technnology Delft Netherlands Department of Mathematics and Computing Science Eindhovan University of Technology Eindhoven Netherlands

Model predictive control (MPC) is a popular controller design technique in the process industry. Conventional MPC uses linear or nonlinear discrete-time models. Previously, we have extended MPC to a class of discrete event systems that can be described by a model that is "linear" in the max-plus algebra. In our previous work we have considered MPC for the perturbations-free case and for the case with noise and/or modeling errors in a bounded or stochastic setting. In this paper we consider a method to reduce the computational complexity of the resulting optimization problem, based on variability expansion. We show that the computational load is reduced if we decrease the level of 'randomness' in the system.

关键词： Stochastic systems Predictive models Predictive control Electrical equipment industry Industrial control Discrete event systems Algebra Stochastic resonance Computational complexity Optimization methods

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Fast recursive basis function algorithms for identification of time-varying processes

Fast recursive basis function algorithms for identification ...

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IEEE Conference on Decision and control

作者： M. Niedzwiecki T. Klaput Faculty of Electronics Telecommunications and Computer Science Department of Automatic Control Technical University of Gdańsk Gdansk Poland Politechnika Gdanska Gdansk WojewÃ³dztwo pomorskie PL

When system parameters vary rapidly with time the weighted least squares filters are not capable of following the changes satisfactorily - some more elaborate estimation schemes, based on the method of basis functions, have to be used instead. The basis function estimators have increased tracking capabilities but are computationally very demanding. The paper introduces a new class of adaptive filters, based on the concept of post filtering, which have improved parameter tracking capabilities, typical of the basis function algorithms, but at the same time, have rather low computational requirements, typical of the weighted least squares algorithms.

关键词： Least squares approximation Finite impulse response filter Computer science Adaptive filters Noise measurement White noise Recursive estimation Yield estimation Random access memory Linear approximation

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Fast algorithms for identification of rapidly fading channels 10

Fast algorithms for identification of rapidly fading channel...

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2000 10th European Signal Processing Conference, EUSIPCO 2000

作者： Niedzwiecki, Maciej Klaput, Tomasz Faculty of Electronics Telecommunications and Computer Science Department of Automatic Control Technical University of Gdańsk ul. Narutowicza 11/12 Gdańsk Poland

ISBN: (纸本)9789521504433

The problem of identification/tracking of rapidly fading communication channels is considered. When the channel coefficients vary rapidly with time the most frequently used weighted least squares (WLS) and least mean squares (LMS) algorithms are not capable of tracking the changes satisfactorily. To obtain good estimation results one has to use more specialized adaptive filters, such as the basis function (BF) algorithms which are based on explicit models of parameter changes. Unfortunately, estimators of this kind are numerically very demanding. The paper introduces a new class of recursive algorithms which combine low computational requirements, typical of WLS and LMS filters, with very good tracking capabilities, typical of BF filters. © 2000 EUSIPCO.

关键词： Adaptive filters

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Fast algorithms for identification of rapidly fading channels

Fast algorithms for identification of rapidly fading channel...

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European Signal Processing Conference (EUSIPCO)

作者： Maciej Niedźwiecki Tomasz Kłaput Faculty of Electronics Telecommunications and Computer Science Department of Automatic Control Technical University of Gdańsk ul. Narutowicza 11/12 Gdańsk Poland

关键词： Mean square error methods

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