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Identification with Generalized Orthonormal Basis Functions - Statistical Analysis and Error Bounds

IFAC Proceedings Volumes 1994年第8期27卷 1169-1174页

作者： P.M.J. van den Hof P.S.C. Heuberger J. Bokor Mechanical Engineering Systems and Control Group Delft University of Technology Mekelweg 2 2628 CD Delft The Netherlands National Institute of Public Health and Environmental Protection (RIVM) P.O. Box 1 3720 BA Bilthoven The Netherlands Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H 1502 Budapest Hungary

A least squares identification method is studied that estimates a finite number of expansion coefficients in the series expansion of a transfer function, where the expansion is in terms of recently introduced generalized basis functions. The basis functions are orthogonal in H 2 and generalize the pulse, Laguerre and Kautz bases. One of their important properties is that when chosen properly they can substantially increase the speed of convergence of the series expansion. This leads to accurate approximate models with only few coefficients to be estimated. Explicit bounds are derived for the bias and variance errors that occur in the parameter estimates as well as in the resulting transfer function estimates.

关键词： System identification orthogonal basis functions FIR models linear regression modelling errors system approximation

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ACCURACY REQUIREMENTS FOR MEASUREMENT systems WITH UNIFORM AND NORMAL ERRORS

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NAVAL ENGINEERS JOURNAL 1993年第1期105卷 66-69页

作者： SNOW, JM STUCKMAN, BE USHER, JS Jeffrey M. Snow:received his B.S. degree in mechanical engineering from the University of Washington in 1977. He has worked at Boeing Commercial Aircraft Company and Puget Sound Naval Shipyard. Since 1985 he has been at Naval Surface Warfare Center Crane Division (NSWCC). From 1987 to 1990 he was in charge of quality assurance configuration management and reliability for Aegis (SPY-1 and Mk-99) microwave tubes. He currently is in the Radar System Branch at NSWCC. He is a member of ASQC and ASME. His areas of interest include the use of statistics in process improvement efforts and objectively rating and rewarding suppliers for better quality. Bruce E. Stuckman:holds a Ph.D. degree in systems engineering from Oakland University where he also obtained M.S. and B.S. degrees in electrical and computer engineering. In 1992 Dr. Stuckman obtained his J.D. from the University of Louisville where he graduated cum laude. He is currently an associate in the patent and computer law department of Brooks & Kushman a law firm specializing in intellectual property and technology related causes. Prior to this he was an associate professor of both electrical engineering at the University of Louisville and a member of the Research Advisory Board of the South Central Bell Telecommunications Research Center. Dr. Stuckman is the author of over 75 published works in a variety of research areas including global optimization algorithms control systems communication and telecommunication systems and instrumentation electronics. He has served as a technical consultant to such organizations as Control Data Corporation General Electric General Motors Research Laboratories Gulf & Western AT&T Bell Laboratories ARCO Research and Technical Services and the U.S. Government and has been a frequent lecturer at national and international symposia. He is a senior member of IEEE and a member of ASNE Eta Kappa Nu Tau Beta Pi Sigma Xi and Phi Kappa Phi. John S. Usher Ph.D. P.E.:is an assistant professor of industrial engineering

Accuracy requirements are usually determined as a percentage of the specification range of the measured part or process. Setting accuracy requirements in this manner results in a wide and unpredictable range of false rejection and acceptance probabilities. This causes extra costs due to either: 1) over specification of measurement systems accuracy requirements;2) time, effort, retesting, and resolution of false rejections;or 3) system degradation caused by false acceptance of out-of-specification parts. Achieving a consistent and known risk of false acceptance is only possible by considering the measured process C(pk), the process's mean in relation to the center of the specification range, and the measurement system error distribution. This paper presents a method for calculating the probabilities of false rejection and false acceptance for a normal process which is measured with, alternately, uniform and normally distributed error. It is shown that under most conditions uniform error causes 20% to 30% higher false rejection and acceptance probabilities. Thus, knowledge of measurement error distribution could provide lower total production cost.

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An approach to the direct analysis of transient stability

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European Transactions on Electrical Power 1993年第3期3卷 241-248页

作者： Djukanovic, M.B. Sobajic, D.J. Pao, Y.‐H. Miodrag B. Djukanovic (1959) received his B.S. M.Sc. and Ph.D. degrees in Electrical Engineering from the University of Belgrade/Yugoslavia in 1982 1985 and 1992 respectively specializing in electric power systems. In 1984 he joined the Electrical Engineering Institute “Nikola Tesla” in Belgrade where he was working on the scientific studies in the field of power systems planning operation and control. In 1985 and 1990 he was appointed as a research scholar at the Royal Institute of Technology Stockholm and Case Western Reserve University Cleveland Ohio. His major in- terests are in the area of power system analysis steady-state and dynamic security and application of neural networks in electric power systems. (Electrical Engineering Institute “Nicola Tesla” ul. Koste Glavinica 8A YU-11000 Belgrad T +3811/2351-619 Fax + 3811/2351-823) Dejan J. Sobajic (1949) received the B.S.E.E. and the M.S.E.E. degrees from the University of Belgrade/Yugoslavia in 1972 and 1976 respectively and the Ph.D. degree from Case Western Reserve University Cleveland Ohio in 1988. At present he is with the Department of Electrical Engineering and Applied Physics Case Western Reserve University Cleveland. He is also the Engineering Manager of A1 WARE Inc. Cleveland. His current research interests include power system operation and control neuralnet systems and adaptive control. He is a member of the IEEE Task Force on Neural-Network Applications in Power Systems and of the IEEE Intelligent Controls Committee. He is the Chairman of the International Neural-Networks Society Special Interest Group on Power Engineering. (Case Western Reserve University Department of Electrial Engineering and Computer Sciences Glennan Building Ohio 44 106 USA T + 1216/421-2380 Fax +1216/368-8776) Yoh-Han Pao (1922) has been a Professor of Electrical Engineering and Computer Science at Case Westem Reserve University (CWRU) Cleveland Ohio since 1967. He has served as chairman of the University's Electrical Engineering Department

The Transient Energy Function (TEF) method has been intensely investigated over the last decade as a reliable and accurate tool for transient stability assessment of multimachine power systems. In this paper we propose the Potential Energy Boundary Surface (PEBS) based method for direct analysis of transient stability. The critical value of transient energy and the Critical Clearing Time (T_CCT) are evaluated without the need for successive calculation and memorization of the system kinetic and potential energy values along the sustained fault trajectory. The method is used for determination of output features in the training phase of the neural‐net based transient security assessment. The proposed approach is tested on the well‐known ten‐generator New England test system demonstrating the validity and accuracy of obtained results. Copyright © 1993 John Wiley & Sons, Ltd.

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IMPROVING THE SHIP DESIGN, ACQUISITION AND CONSTRUCTION process

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NAVAL ENGINEERS JOURNAL 1992年第2期104卷 39-57页

作者： RYAN, JC JONS, OP J. Christopher Ryan:earned his bachelor's and master's degrees in Naval Architecture from Webb Institute and MIT respectively. He spent three years at the Advanced Marine Technology Division of Litton Industries working on the DD-963 class ship design and related computer aided design projects. he subsequently went to the Navy Department concentrating on early stage design of surface combatants for 12 years including work on the FFG-7 Sea Control Ship CSGN and CVV aircraft carrier projects. He then shifted focus and became the technical director for the Computer Supported Design Program in NavSea for five years. Mr. Ryan has served in several supervisory positions within the Ship Design Group in NavSea since that time. He is currently the project manager for the Ship Design Acquisition and Construction Process Improvement Project. Otto P. Jons:received a Diplom Ing. in shipbuilding from the Technical University of Hannover W. Germany and an M.S. in naval architecture and marine engineering from the Massachusetts Institute of Technology in 1967. He then joined Litton Ship Systems where he was responsible for the preliminary design of the DD-963 hull structure and then for ship systems as manager LHA Ship Systems Engineering Department. From 1972 to 1974 he was principal research scientist at Hydronautics. In 1976 as technical director he helped establish the local office of Designers and Planners. Otto Jons was one of the co-founders of Advanced Marine Enterprises Inc. in 1976 where he is corporate vice president engineering.

In the spring of 1990, the NavSea Chief Engineer initiated a project to improve the design, acquisition and construction (DAC) of U.S. Navy ships. The project's objectives are to reduce the time and cost of acquiring and operating Navy ships while improving their quality, unlike previous studies on the subject, the project utilizes a rigorous process analysis approach and attempts to use quantitative measures as the basis for recommending improvements. The paper is, of necessity, a status report on the progress of this project. Topics covered include: the DAC process;a look at the current state of ship acquisition time, cost, and quality;the methodology for process improvements;and early findings.

关键词： Naval Vessels

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Function point analysis: evaluation of a software cost estimation model

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European Journal of Information systems 1991年第4期1卷 229-237页

作者： Heemstra, F. J. Kusters, R. J. Department of Industrial Engineering and Management Science University of Technology Section Management Information Systems and Automation Research Group Estimation and Control of Software Development Eindhoven The Netherlands

The merits of function point analysis are discussed. Function point analysis was chosen because it is one of the most widely used aids for software cost estimation. In the analysis we use data from a large survey of Dutch organizations, from an experiment on the effectiveness of software cost estimation models and from a field study aimed at the adjustment part of the FPA model. Conclusions show that it is indeed widely used and that it performs reasonably well as a product sizer, but that the adjustment part of the model is less useful.

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Intelligent Adaptive control of Mode-Switch processes

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IFAC Proceedings Volumes 1991年第1期24卷 145-150页

作者： R.A. Hilhorst J. van Amerongen P. Löhnberg H.J.A.F. Tulleken Control Systems and Computer Engineering Group Dept of Electrical Engineering University of Twente and Mechatronics Research Centre Twente P. O. Box 217 7500 AE Enschede The Netherlands Process Systems Group Dept of Mathematics & Systems Engineering Koninklijke/Shell-Laboratorium (Shell Research B.V.) P.O. Box 3003 1003 AA Amsterdam The Netherlands

The intelligence of controllers has increased over the decades. However, the number of applications of adaptive controllers is still restricted, due to practical limits of the implemented continuous adaptation. For processes which operate only in a limited number of modes (so called mode-switch processes), constant adaptation is not needed or desired. In this paper an intelligent extension of adaptive control will be presented, in which process behaviour can be stored in a memory, retrieved from it and evaluated for each mode of operation. This intelligent memory concept leads to an adaptive control structure which, after a learning phase, quickly adjusts the controller parameters based on retrieval of old information, without the need to relearn every time. This approach has been tested on a simulation model of an assembly robot, but it is directly applicable to many processes in the (petro)chemical industry.

关键词： Adaptive control Supervisory control Automatic tuning Mode-switch processes Bumpless transfer

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Quadratic problems for n-D systems

Quadratic problems for n-D systems

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IEE Colloquium on Polynomial Methods in Optimal control and Filtering

作者： M. Sebek Institute of Information Theory and Automation Czechoslovak Academy of Science Prague Czech Republic Mechatronics Research Center and Systems and Control Group Faculty of Applied Mathematics University of Twente Enschede Netherlands

Polynomial techniques have been used previously to handle also n-D signals and systems (n>or=2). In the paper, some attempts to solve n-D quadratic exercises by means of polynomial methods are sketched to illustrat... 详细信息

关键词： Multidimensional systems Polynomials Signal processing

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USING THE PROPERTIES OF ORGANIC-COMPOUNDS TO HELP DESIGN A TREATMENT SYSTEM

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GROUND WATER MONITORING AND REMEDIATION 1991年第4期11卷 81-86页

作者： NYER, E BOETTCHER, G MORELLO, B Evan K. Nyer is an expert in the research and application of technology to ground water cleanups. As vice president with Geraghty & Miller Inc. he is responsible for engineering services including hazardous and solid waste management environmental and natural resource management remediation activities and designing treatment systems for contaminated sites throughout the United States and in foreign countries. He has designed more than 100 ground water treatment systems. Nyer travels throughout the country teaching treatment techniques at seminars and universities. He has written numerous papers on ground water decontamination and other water and waste water cleanup techniques. He is responsible for bringing to the field many innovative techniques for biological treatment of water soils and in situ treatment and the application of existing technologies to ground water contamination. He is a member of the Water Pollution Control Federation The National Water Well Association The American Institute of Chemical Engineers and The American Society of Civil Engineers. Bridget Morello received a B.S. Che from the University of South Florida in 1987 and is currently working for Geraghty & Miller's Process Group in Tampa Florida. She is mainly involved in treatability evaluation and design of ground water treatment systems. Gary Boettcher is a project scientists with Geraghty & Miller Inc. in Tampa Florida. He received his B.S. degree in microbiology from the University of South Florida and is currently pursuing a Master of Public Health (MPH) degree. He is involved in investigation treatability and design of biological remediation systems.

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control structure determination and enhanced self-tuning using the 'MUSE' AI toolkit

Control structure determination and enhanced self-tuning usi...

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IEE Colloquium on Knowledge Based Environments for Industrial Applications Including Co-Operating Expert systems in control

作者： R. Corea D. Peel A.J. Morris Advanced Process Control and Knowledge Based Systems Research Group Department of Chemical and Process Engineering University of Newcastle UK

The basis of a comprehensive real-time knowledge based system for control structure design and supervisory control is developed using the MUSE AT toolkit. Representation of control engineering knowledge as procedural code in an object-based structure ensures that the knowledge base is easily understood and modified by domain experts. The simple learning capability that has been implemented has proved to be extremely useful and is being developed further as part of continuing research in this area. It is also hoped to extend the capabilities of the supervisory modules particularly in dealing with loop interactions, the prediction and diagnosis of faults and the provision of an intelligent operator interface.< >

关键词： Adaptive control Digital control Design automation control systems Knowledge based systems Knowledge representation

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Industrial machine vision: lessons and challenges

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Optics News 1987年第2期13卷 12-17页

作者： Steven W. Holland Robert B. Tilove STEVEN W. HOLLAND is an assistant department head in the Computer Science Dept. of General Motors Research Laboratories (GMR). He is responsible for research projects involving computer vision robotics mobile robotics process planning knowledge systems natural language advanced programming environments parallel processing and statistics. ROBERT B. TILOVE is senior staff research scientist and project leader of the machine perception project at GMR. His research interests include geometric modeling model-based programming and control of intelligent automation systems.

No abstract available.

关键词： Integral imaging Machine vision Measurement and metrology Optical systems Sensors Statistics

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