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1st IEEE Regional Conference on Aerospace control Systems, AEROCS 1993

作者： Hilands, T.W. Thomopoulos, S.C.A. Pennsylvania State University Dept. of Electrical and Computer Engineering Decision and Control Systems Laboratory University ParkPA16802 United States Applied Research Laboratory Pennsylvania State University University ParkPA16802 United States

This paper addresses the problem of multi sensor detection and high resolution signal parameter estimation using joint maximum a posteriori detection and high order nonlinear filtering techniques. The model-based fusion approach offers the potential for increased target resolution in range/azimuth space. The technique employs joint detection/estimation filters (JDEF) for target detection and parameter localization. The JDEF approach segments the aggregate nonlinear model over the entire target resolution space into subcells. This partitioning leads to extremely accurtate detection and parameter estimation. The proposed JDEF approach has a built-in capability for automatic data alignment from multiple sensors, and can be used for centralized, noncentralized, and distributed data fusion. © 1993 IEEE.

关键词： Parameter estimation

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Global robustness of nonlinear systems to state measurement disturbances

Global robustness of nonlinear systems to state measurement ...

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IEEE Conference on Decision and control

作者： R.A. Freeman P.V. Kokotovic Center for Control Engineering and Computation Department of Electrical and Computer Engineering University of California Santa Barbara CA USA University of California Santa Barbara Santa Barbara CA US Dept. of Electr. & Comput. Eng. California Univ. Santa Barbara CA USA

We consider nonlinear control systems for which an estimate x/spl circ/ of the system state x is available for feedback. We assume x/spl circ/=x+d/sub m/, where d/sub m/(t) is an unknown locally bounded state measurement disturbance. We present conditions under which we can design a smooth feedback law u=/spl mu/(x/spl circ/) which renders the mapping from d/sub m/ to x globally input/output stable. For any initial condition, such a feedback law will guarantee that no finite escape times occur, that bounded disturbances d/sub m/ produce bounded signals, and that x/spl rarr/0 when d/sub m//spl rarr/0. We show that the class of systems for which such feedback laws exist include systems in strict feedback form. One important application is in the output feedback stabilization problem, where the disturbance d/sub m/ comes from a separately designed observer.< >

关键词： Nonlinear systems control systems Output feedback State feedback Radio control Stability control engineering control engineering computing Noise robustness Robust control

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A parallel VLSI implementation of Viterbi algorithm for accelerated word recognition

A parallel VLSI implementation of Viterbi algorithm for acce...

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Great Lakes Symposium on VLSI

作者： V. Upadhyaya S.J. Upadhyaya A. Kundu Dept. of Electr. & Comput. Eng. State Univ. of New York Buffalo NY USA Department of Electrical and Computer Engineering State University of New York University at Buffalo Buffalo NY USA Naval Command Control and Ocean Surveillance Center San Diego CA USA

A hardware VLSI implementation of the Viterbi algorithm is presented. The Viterbi algorithm is used to solve a word recognition problem using a hidden Markov model. In order to accelerate the speed of computation for real-time word recognition, the inherent parallelism in the recursion step of the algorithm is exploited. Details of the hardware implementation and experimental results are discussed.< >

关键词： Very large scale integration Viterbi algorithm Acceleration Hidden Markov models Handwriting recognition Hardware Parallel processing Tail Pipelines Text recognition

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Measurements of power and current components in unbalanced and distorted three‐phase systems

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European Transactions on Electrical Power 1993年第1期3卷 75-83页

作者： Andria, G. Salvatore, L. Savino, M. Trotta, A. Dr. Gregorio Andria (1956) AEI received the M. S. degree in Electrical Engineering from the State University of Bari/Italy in 1981 and the Ph. D. degree in Electrical Engineering in 1987 from the same University. From 1981 to 1983 he was working in the Electrotechnics and Electronics Department of the University of Bari as a member of the research team on electrical measurements. From 1984 to 1986 he was a Doctoral Fellow and currently he is a researcher in the same department. His research interests are in the fields of electrical and electronic measurements on components and systems including digital measurements for the analysis of electrical quantities in non-sinusoidal systems and the design of integrated optical sensors for measurement and control of non-electrical physical quantities. (Department of Electrotechnics and Electronics Faculty of Engineering polytechnic of Bovia E. Orabona 4 1-70125 Bari. Italy T +3980/242266 Fax + 3980/242410) Prof. Luigi Salvatore (1945) AEI received the degree in electrical engineering from the University of Bari/Italy in 1970. Since 1976 he has worked in the Electrotechnical and Electronic Department of the same University as a member of the research team on electrical machines. From 1983 to 1987 he was a researcher of electrical machines in the same department. Since 1987 he has been an Associate Professor of electrical machines at the University of Bari. At the present time his research interests include the control monitoring and diagnostics of AC drives and the areas of signal processing anddigital measurements on power electronics systems. (Department of Electrotechnics and Electronics Faculty of Engineering Polytechnic of Bari via E. Orabona 4 I-70125 Bari Italy T + 3980/242258 Fax + 3980/242410) Prof. Mario Savino (1947) AEI received the degree in Electrical Engineering from the University of Barif Italy in 1971. Since then he has been working in the Electrotechnical Institute of Bari until 1973 as researcher from 1973 to 1982 as Assistant Profe

The paper deals with the instantaneous power theory in three‐phase circuits by using the instantaneous time phasors of voltage and current. Particularly it is shown that the instantaneous components of the current time‐phasor in a rotating reference frame p‐q, oriented in such a way that the instantaneous voltage time‐phasor points to the p‐axis direction, represent the active and reactive currents. These components give rise to instantaneous real and imaginary powers, respectively. The spectral analysis of the above‐mentioned time‐phasors gives the harmonic symmetrical components of positive and negative sequence of voltage and current three‐phase systems. The line‐by‐line product of the voltage sequence spectrum by the complex conjugate of the current sequence spectrum gives the DC components of the instantaneous real and imaginary powers. The paper shows also that the instantaneous active and reactive currents are different from those defined on grounds of the Fryze's theory, which can be determined from the voltage and current sequence spectra. Copyright © 1993 John Wiley & Sons, Ltd.

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A new parameter estimation algorithm for bounded error models

A new parameter estimation algorithm for bounded error model...

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1992 Singapore International Conference on Intelligent control and Instrumentation

作者： Sotirov, G. Shafai, B. Dept. of Process Control Technical University Sofia1156 Bulgaria Dept. O F Electr. and Computer Engineering Northeastern Univ. BostonMA02115 United States

ISBN: (纸本)0780306325

In this contribution a new parametrs estimation algorithm for setmembership description of uncertainty is presented. Identificati on consists of computing the feasible parameter region (FPR) within which the parameter vector to be identified must lie to give the observed output, given the constraints on the noise. However, tho membership estimators presented in the literature so far are mainly restricted to the outer-bounding algorithms. The approach described here has been designed for handling inner bound as an approximation to the FPR. Such an approximation can be obtained by means of a simple linear parametric programming. © 1992 Institute of Electrical and Electronics Engineers Inc. All rights reserved.

关键词： Parameter estimation

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Optimum pairing and ordering conditions for simultaneous reduction in total capacitance, sensitivity and output noise of cascade SC filters

Optimum pairing and ordering conditions for simultaneous red...

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1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992

作者： Zhiqiang, M.A. Nakayama, Kenji Yamamoto, Gaishi Department of Electrical and Computer Engineering Faculty of Technology Kanazawa University Kanazawa920 Japan Faculty of Engineering Kanazawa Institute of Technology Ishikawa921 Japan Dept. of Automatic Control Engineering Central-South University of Technology Changsha China

ISBN: (纸本)0780305930

This paper presents optimum pairing and ordering (P/O) conditions for simultaneous reduction in total capacitance, sensitivity and output noise of cascade SC filters. First, investigating relations among conditions proposed for minimizing these three parameters independently, termed, CTmin, Smin and Nmin conditions, we make it clear that there is no P/O assignment with which the three parameters can be simultaneously minimized. Then we verify that Nmin condition is valid in reducing two other parameters. Trade-off optimum conditions are proposed by combining Nmin with Smin and CTmin. These conditions can limit the number of P/O assignments, in which an optimum P/O assignment for simultaneous reduction of three parameters can be searched out easily. Depending upon applications, the trade-off optimum condition can be slightly modified by adjusting the proportion of CTmin Smin and Nmin. Efficiency of the proposed trade-off optimum conditions is confirmed through computer simulation using several kinds of filters. © 1992 IEEE.

关键词： Capacitance

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Nonlinear adaptive detection/estimation for single and multiple radar processing

Nonlinear adaptive detection/estimation for single and multi...

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1992 Military Communications Conference, MILCOM 1992

作者： Thomopoulos, S.C.A. Hilands, T.W. Pennsylvania State Univ. Decision and Control Systems Laboratory Dept. of Electrical and Computer Engineering University ParkPA16802 United States Applied Research Laboratory Pennsylvania State University University ParkPA16802 United States

ISBN: (纸本)078030585X

A nonlinear adaptive detector/estimator is introduced for single and multiple radar data processing. The problem of target detection from returns of monostatic radar(s) is formulated as a nonlinear joint detection/estimation problem on the unknown parameters in the signal return. The problems of detecting the target and estimating its parameters are considered jointly. A bank of spatially and temporally localized nonlinear filters is used to estimate the a posteriori likelihood of the existence of the target in a given space-time resolution cell. Within a given cell, the localized filters are used to produce refined spatial estimates of the target parameters. A decision logic is used to decide on the existence of a target within any given resolution cell based on the a posteriori estimates obtained from the likelihood functions. Simulation results show excellent detection capabilities and excellent resolution in target parameter estimation for both single and multiple sensor data. © 1992 IEEE.

关键词： Data handling

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Joint detection/estimation for modal order selection in Gaussian and nonGaussian noise

Joint detection/estimation for modal order selection in Gaus...

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1992 Military Communications Conference, MILCOM 1992

ISBN: (纸本)078030585X

The authors present a general approach to determining the number of sinusoids present in measurements corrupted by additive white Gaussian and nonGaussian noise. The approach involves the simultaneous application of maximum a posteriori detection and nonlinear estimation using either the extended Kalman filter when the noise is Gaussian, or the extended high order filter when the noise is nonGaussian. The problem is formulated as a multiple hypothesis testing problem with assumed known a priori probabilities for each hypothesis. The advantage of the approach lies in the potential to accommodate time-varying as well as time-invariant parameters in the measurement model. Experimental evaluation of the approach demonstrates excellent performance in selecting the correct model order and estimating the system parameters even for signal-to-noise ratios as low as -5 dB. © 1992 IEEE.

关键词： Signal to noise ratio

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Nonlinear filtering methods for harmonic retrieval

Nonlinear filtering methods for harmonic retrieval

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1992 Military Communications Conference, MILCOM 1992

作者： Hilands, T.W. Thomopoulos, S.C.A. Pennsylvania State Univ. Applied Research Laboratory University ParkPA16802 United States Decision and Control Systenls Laboratory Dept. of Electrical and Computer Engineering Pennsylvania State University University ParkPA16802 United States

ISBN: (纸本)078030585X

The authors address the problem of high-resolution parameter estimation of superimposed sinusoids using nonlinear filtering techniques. Six separate nonlinear filters are evaluated for the estimation of the parameters of sinusoids in white and colored Gaussian noise. Experimental evaluation demonstrates that the nonlinear filters perform very satisfactorily (close to the Cramer-Rao bound) for reasonable values of the initial estimation error. A major advantage of using nonlinear filtering methods for harmonic retrieval is that the filters can be applied to time-varying process models as well. © 1992 IEEE.

关键词： Nonlinear filtering

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Visual pattern recognition using morphological methods

Visual pattern recognition using morphological methods

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： I.N.M. Papadakis J.G. Reisman S.C.A. Thomopoulos Dept. of Electr. & Comput. Eng. Pennsylvania State Univ. University Park PA USA Decision and Control Systems Laboratory Department of Electrical and Computer Engineering Pennsylvania State University University Park PA USA

An effective method for visual pattern recognition using morphological techniques is presented. It is shown that it can be successfully used for the recognition of deformed letters. The method extracts morphological information by the successive dilation of an idealized letter set. At each stage a properly defined similarity index is computed. The maximum values of the similarity index for each stored letter are compared and are used for the classification decision. Classification results are presented for a set of deformed capital English letters with a realistic level of deformation. Skeletonization of the deformed pattern is shown to improve the performance of the classification method. The described method can be easily implemented using a parallel architecture.< >

关键词： Pattern recognition Artificial neural networks Feature extraction Clocks control systems Laboratories Data mining Parallel architectures Character recognition Tiles

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