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IEEE PES Transmission and Distribution Conference and Exposition

作者： Mo-yuen Chow Hahn Tram Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA Systems Control-Distribution Automation ABB Power Transmission and Distribution Company Inc. Cary NC USA

ISBN: (纸本)0780335228

Utilities are required to provide reliable power to customers. In the design stages, utilities need to plan ahead for anticipated future load growth under different possible scenarios. Their decisions and designs can affect the gain or loss of millions of dollars for their companies as well as customer satisfaction and future economic growth in their territory. This paper proposes and describes the general methodology to use fuzzy logic to fuse the available information for spatial load forecasting. The proposed scheme can provide distribution planners other alternatives to aggregate their information for spatial load forecasting.

关键词： Fuzzy logic Load forecasting Power system reliability Costs Power system planning Geographic Information systems Economic forecasting Distributed computing Customer satisfaction Power generation economics

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Methodology of urban re-development considerations in spatial load forecasting

Methodology of urban re-development considerations in spatia...

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IEEE PES Transmission and Distribution Conference and Exposition

作者： Mo-yuen Chow Hahn Tram Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA Systems Control-Automated Distribution ABB Power Transmission and Distribution Company Inc. Cary NC USA

ISBN: (纸本)0780335228

Load forecasting in power systems is an important subject and has been studied from different points of view in order to achieve better load forecasting results. This paper addresses one of the challenges in spatial load forecasting area, urban re-development, and presents a theory and methodology to incorporate urban re-development into spatial load forecasting considerations.

关键词： Load forecasting Substations Energy consumption Power system planning Cities and towns Power systems Urban planning Power system analysis computing Regression analysis Expert systems

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Reliability evaluation of highly reliable computer control systems for energy generation, transmission and distribution

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EUROPEAN TRANSACTIONS ON ELECTRICAL POWER 1996年第2期6卷 111-118页

作者： Kochs, HD Dieterle, W Dittmar, E [?]Prof. Dr.-Ing. Hans-Dieter Kochs (1943) VDE is head of the Department of Computer Science and Information Processing Systems at the Gerhard Mercator-University of Duisburgl Germany. He received the Dip1.-Ing. degree in Electrical Engineering and the Dr.-Ing. degree from the RWTH Aached Germany in 1972 and 1976 respectively. From 1979 to 1991 he was system engineer and division leader in the areas of R & D of highly-reliable large-scale control and information systems (AEGIDaimler FAG-Kugelfischer). Since 199 1 he has been Professor at the University of Duisburg. His current R & D areas are reliability safety and fault tolerance of technical systems especially automation systems and hybridknowledge based systems including fuzzy-logic and neural networks. (Gerhard-Menxitor-University-GH Duisburg FB 71FG 10 Lotharstr. 1 D-47048 Duisburg T +49203/379-2204 Fax +49203I379-2205)

The paper presents the results of an application-based reliability study of distributed computer control systems with very high reliability demand, e.g. for supervision and control of power plants and energy distribution systems. A reliability classification scheme is presented and typical redundant control system structures are evaluated and classified due to their system reliability Special focus is placed on assessing the influence of the communication system on total system reliability.

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Phase correction for coherent noise reduction in short-range radar measurements

Phase correction for coherent noise reduction in short-range...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： S.G. Beaven S.P. Gogineni P. Kanagaratnam Development Test & Evaluation Division Naval Command Control and Ocean Surveillance Center San Diego CA USA Radar Systems and Remote Sensing Laboratory Department of Electrical and Computer Engineering University of Kansas Lawrence KS USA

Short-range scatterometer systems are used to obtain radar backscatter signatures for understanding the interaction between electromagnetic energy and geophysical media in a number of remote sensing applications. Unlike long-range and intermediate-range radar systems, the sensitivity of short-range radars is not limited by thermal noise, but rather by reflections and leakage signals from the antenna and RF section. These leakage signals and their sidelobes are the primary sources of unwanted signals (coherent noise) in short-range FM radar systems. The authors have employed coherent noise reduction techniques to reduce the effects of these unwanted signal sources. Reduction of these coherent noise sources is critical to obtaining accurate backscatter measurements from geophysical targets. Recent advances include the use of phase correction to overcome limitations due to drift of local oscillators and effects of temperature changes on the system. The authors present results from the standard and phase-corrected coherent noise reduction techniques. These techniques increased the dynamic range of field and laboratory measurements of radar backscatter from sea ice and allows the authors to use data from past experiments that had previously been discarded due to low signal-to-noise ratio.

关键词： Noise reduction Radar antennas Radar remote sensing Backscatter Radar measurements Geophysical measurements Sea measurements Radar applications Radar scattering Electromagnetic scattering

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Computing the trajectories generated by discrete linear repetitive processes

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Zeitschrift fuer Angewandte Mathematik und Mechanik, ZAMM, Applied Mathematics and Mechanics 1996年第SUPPL 5期76卷 159-159页

作者： GaLkowski, K. Rogers, E. Owens, D.H. Technical University of Wroclaw Institute of Telecommunications and Acoustics Poland University of Southampton Department of Electronics and Computer Science Image Speech and Intelligent Systems Group Southampton SO9 5NH United Kingdom University of Exeter Centre for Systems and Control Engineering Exeter EX4 4QF United Kingdom

Computing the trajectories generated by an arbitrary system or process is extremely important for its analysis, especially for control and stability investigations. This paper analyses the fundamental matrix sequence (a discrete counterpart of the transition matrix in the continous case) for a linear unit memory repetitive process. The main result refers to the representation of the repetitive process in terms of the general singular Kurek model.

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Learning augmented recursive estimation for uncertain nonlinear dynamical systems

Learning augmented recursive estimation for uncertain nonlin...

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IEEE International Symposium on Intelligent control (ISIC)

作者： S.C. Draper R.S. Mangoubi W.L. Baker Department of Electrical Engineering and Computer Science M.I.T. Cambridge MA USA Control and Dynamical Systems Division C. S. Draper Laboratories Inc. Cambridge MA USA Division of Engineering and Applied Sciences Harvard University Cambridge MA USA

This paper describes a learning augmented recursive estimation approach for nonlinear dynamical systems having unmodeled nonlinearities. Utilizing a passive spatially-localized learning system, an approximation of the unknown nonlinearity is synthesized online, based on state and parameter estimates from a nonlinear recursive estimator (an adaptive form of the extended Kalman filter). The learned model of the nonlinearity is used, in turn, to improve the performance of the recursive estimator. We demonstrate the approach on a second-order, mass-spring-damper system, where the spring stiffness is a nonlinear function of position. Simulation results indicate that, relative to more traditional adaptive estimation schemes, markedly improved estimation performance can be achieved.

关键词： Recursive estimation Nonlinear dynamical systems State estimation Learning systems Function approximation Filters Parameter estimation Springs Adaptive estimation Uncertainty

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Roles of neural and evolutionary computing in intelligent software systems

British Telecom technology journal

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British Telecom technology journal 1996年第4期14卷 46-54页

作者： Tsui, K.C. Azvine, B. Plumbley, M. Hong Kong Polytechnic University of Essex Kings College University of London BT Laboratories Manchester University Dynamics and Control Research Group Engineering Department Manchester University Contr. and Instrum. Research Group Staffordshire University Intelligent Systems Research Group Churchill College Cambridge United Kingdom Thorn-EMI Ctrl. Res. Laboratories Cambridge Univ. Eng. Department Centre for Neural Networks King's College London Department of Computer Science Electron. and Electrical Engineering King's College London United Kingdom European Neural Network Society

This paper describes two computing paradigms known as neural computing and evolutionary computing, and their potential contribution to building intelligent software systems. The paper begins by giving a brief introduction to the origins of each paradigm. Then two sections introduce the basic principles, and identify the role of each paradigm in intelligent system design. Each section ends with a number of applications that have been or are being investigated. These include connection admission control, modem communication, adaptive model-based control, face and handwriting recognition, frequency assignment, help-desk scheduling, financial time-series prediction, face recognition and evolving agent behavior. A section introduces the idea of using communications theory to design neural networks and the paper concludes with the authors' views on the future of neural and evolutionary computing for intelligent software systems.

关键词： Artificial intelligence

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Measuring the distance and orientation of a planar surface using nonstructured lighting

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systems AND computerS IN JAPAN 1996年第8期27卷 83-92页

作者： Tsukiyama, T Member Electrotechnical Laboratory Tsukuba Japan 305 Tosbifumi Tsukiyama:graduated in 1972 from the Biological Engineering Department Osaka University where he also received his Dr. of Eng. degree. He joined Electrotechnical Laboratory Ministry of Tread and Industry (Japan) in 1972. At present he is Senior Researcher at Computer Vision Section Intelligent Systems Division ETL. He was a Visiting Researcher at University of Illinois during 1984–1985. He has been interested in vision system for mobile robots and image processing architectures. He is a member of the Society of Instrumental and Control Engineers Japan Robotics Society of Japan and Information Processing Society of Japan.

This paper proposes a method of 3-dimensional measurement of a planar surface by using two fixed light sources and a TV camera. A set of two images is recorded by the camera switching on each light alternately. The peak of the luminance distribution in each image is detected, and the orientation and distance of the planar surface are calculated. The position of the peak of a luminance distribution can be estimated accurately by using an image processing. The light sources can be conventional apparatus with no particular structure. The method is simple and suitable for a vision system on an indoor mobile robot.

关键词： distance to surface orientation of planar surface point light source luminance distribution ring light

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Visibility analysis on a massively data-parallel computer

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Concurrency and Computation: Practice and Experience 1996年第6期8卷

作者： Daniel Germain Denis Laurendeau Guy Vézina Computer Vision and Systems Laboratory Electrical Engineering Department Université Laval Ste-Foy Québec Canada G1K 7P4 Command and Control and Information Sytems Division Defence Research Establishment Valcartier PO Box 8800 Courcelette Québec Canada G0A 1R0

Visibility analysis algorithms use digital elevation models (DEMs), which represent terrain topography, to determine visibility at each point on the terrain from a given location in space. This analysis can be computationally very demanding, particularly when manipulating high resolution DEMs accurately at interactive response rates. Massively data-parallel computers offer high computing capabilities and are very well-suited to handling and processing large regular spatial data structures. In the paper, the authors present a new scanline-based data-parallel algorithm for visibility analysis. Results from an implementation onto a MasPar massively data-parallel SIMD computer are also presented.

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LEARNING OF MODULAR STRUCTURED NETWORKS

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ARTIFICIAL INTELLIGENCE 1995年第1期75卷 51-62页

作者： ISHIKAWA, M Department of Control Engineering and Science Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Fukuoka 820 Japan

Learning of large-scale neural networks suffers from computational cost and the local minima problem. One solution to these difficulties is the use of modular structured networks. Proposed here is the learning of modular networks using structural learning with forgetting. It enables the formation of modules. It also enables automatic utilization of appropriate modules from among the previously learned ones. This not only achieves efficient learning, but also makes the resulting network understandable due to its modular character. In the learning of a Boolean function, the present module acquires information from its subtask module without any supervision. In the parity problem, a previously learned lower-order parity problem is automatically used. The geometrical transformation of figures can be realized by a sequence of elementary transformations. This sequence can also be discovered by the learning of multi-layer modular networks. These examples well demonstrate the effectiveness of modular structured networks constructed by structural learning with forgetting.

关键词： Learning systems

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