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2009中国控制与决策会议

作者： Aiping Wang~1,Hong Wang~2 and Lei Guo~3 1.Institute of Computer Sciences,Anhui University,Hefei,P R China 2.Control Systems Centre,the University of Manchester,Manchester,England,UK 3.School of Instrumentation and Opto-Electronics Engineering,Beihang University,P R China

This semi-plenary paper presents a brief and selected survey on the advances on stochastic distribution control,where the purpose of the controller design is to control the shape of output probability density functions(pdf) of non-Gaussian and general stochastic *** research was motivated through the requirement of distribution shape control of a number of practical systems in *** the developments since 1996,much research has been performed internationally and journal special issues and invited session at major conferences have been seen since 2001. It is expected that this survey will provide readers with some up-to-date information on this new area.

关键词： probability density functions stochastic systems control systems design

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Modeling of monthly global solar radiation In M'sila region (Algeria)

Modeling of monthly global solar radiation In M'sila region ...

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International Renewable Energy Congress

作者： Ihaddadene Razika Ihaddadene Nabila Department of Mechanical Faculty of technology M'sila University M'sila Algeria. Laboratory of Renewable Energy and Sustainable Development Constantine University Algeria

ISBN: (纸本)9781467397698

The knowledge of solar radiation is important for many applications, especially for solar energy systems. In this study monthly variations of solar radiation of M'sila (a province of Algeria) were examined based on data measured during twenty years (1984-2003). In this paper, a determination of the number of years sufficient to estimate monthly global solar radiation among twenty years was done. Likewise, Weibull, Gamma, Normal, logistic, lognormal and loglogistic functions were used to estimate M'sila monthly solar radiation. In addition these functions were compared with the measured data. The performance of the cited functions were studied using statistical parameters such as correlation coefficient R~2, root mean square error (RMSE), mean bias error (MBE) and mean absolute bias error (MABE). According to the results found, we can limit our study concerning the treatment of global solar radiation data, in M'sila region, to fifteen (15) years (from 1984 to 1998) instead of twenty (20) years (from 1984 to 2003). Lognormal distribution is the least favorable one to estimate monthly solar radiation on horizontal surface in M'sila region. In contrast, Weibull distribution is the best one.

关键词： component Global solar radiation frequency distribution probability density functions

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SOURCE CONTINUITY AND BOUNDARY DISCONTINUITY CONSIDERATIONS IN BAYESIAN IMAGE-PROCESSING

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MEDICAL PHYSICS 1988年第5期15卷 754-756页

作者： LIANG, Z HART, H CUNY CITY COLL DEPT PHYS NEW YORK NY 10031 USA

This paper extends the Bayesian image processing (BIP) formalism by considering the effect of simple source continuity and boundary discontinuity and a priori information in estimating an optimal source distribution from observed data. The a priori source information is formulated in terms of probability density functions of source element strengths and spatial correlations. The estimation is carried out iteratively by a BIP algorithm derived by applying the expectation maximization technique to the a priori source probability density functions and assuming the data obey Poisson statistics. The suppression of boundary oscillations and enhancement of overall image are demonstrated for computer generated ideal and Poisson randomized data.

关键词： Image processing Poisson&apos s equation probability density functions Image enhancement Information processing

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STATISTICAL PARAMETERS UNDER STATIONARY RANDOM EXCITATION

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JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 1973年第1期53卷 297-&页

作者： PIERSOL, AG BOLT BERANEK & NEWMAN INC CANOGA PKCA 91303

Fundamental statistical parameters used to describe stationary random vibrations are viewed with emphasis on those parameters of special concern in structural response and failure prediction problems. Included in the review are correlation and spectral density functions, instantaneous and peak value probability density functions, arbitrary level crossing statistics, and elementary considerations in the first passage problem. The relevance of the various statistical parameters to the prediction of structural fatigue and extreme value failures, assuming simple failure mechanism models, is introduced in qualitative terms. Both theoretical and experimental results are displayed to illustrate important relationships. Special attention is given to the importance of underlying assumptions inherent in classical applications, in particular, the excitation normality and system underlying assumptions. Data are presented to demonstrate the impact of common nonlinearities on such response parameters as the instantaneous and peak value probability density functions. Finally, the importance of the stationarity and associated constant parameter system assumptions are discussed from a practical viewpoint. Illustrations are included to clarify the types of errors that result when nonstationary random excitations and responses are analyzed as if they were stationary.

关键词： probability density functions Structural failure density functional theory Error analysis Random structural vibrations

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Consideration of Particle Flow Filter Implementations and Biases

Consideration of Particle Flow Filter Implementations and Bi...

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作者： Crouse,David F.,Lewis,Codie, NAVAL RESEARCH LAB WASHINGTON DC WASHINGTON United States

Particle flow filters are appealing due to their potential resistance to particle collapse. However, common implementations exhibit undesirablebiases or particle divergence. This paper shows that the explicit, incompressible, and diagonal flows, unlike the Gromov flow, are inherentlybiased. Another issue is errors in the numerical integration of the flow. The benefits of implicit stochastic-integration methods are demonstratedand a new adaptive step-size selection heuristic is presented.

关键词： Collapse Covariance Data science Decomposition Filters probability density functions Random variables Square roots Algorithms Cartesian coordinates Equations Gaussian distributions Gaussian noise Incompressible flow Military research Partial differential equations Coordinate systems Mathematical filters Differential equations Fokker planck equations Particle filtering Particle flow Nonlinear estimation Gaussian approximation Biases

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Development of a New Contagious Disease Model for NATO Allied Medical Publication 7.5 (AMedP 7.5)

Development of a New Contagious Disease Model for NATO Allie...

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作者： LaViolet, Lucas A.

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Some Exponential Alternatives to the Normal Model in Time Series Analysis

Some Exponential Alternatives to the Normal Model in Time Se...

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作者： Hodson, E. S Naval Postgraduate School Monterey United States MONTEREY United States

An alternative to the normal model in time series analysis is presented wherein the sequence of random variables have exponential and mixed-exponential marginal distributions. The moving-average and autoregressive models are analyzed with respect to serial correlations and conditional expectations. The mixed-exponential autoregressive model and the mixed autoregressive-moving-average model with exponential marginals are presented. A method of estimating the serial correlation coefficient is examined, and digital computer simulation of several of the models are given.

关键词： sequences random variables models probability simulations time series analysis electromagnetic aircraft launch systems operations research statistical analysis united states computers equations new york coefficients probability density functions schools stationary colorado computer simulations digital computers

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Cluster Characteristics of Wideband 3D MIMO Channels in Outdoor-to-Indoor Scenario at 3.5 GHz

Cluster Characteristics of Wideband 3D MIMO Channels in Outd...

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IEEE Vehicular Technology Conference

作者： Detao Du Jianhua Zhang Chun Pan Chi Zhang Key Laboratory of Universal Wireless Communications Wireless Technology Innovation Institute Ministry of Education

ISBN: (纸本)9781479944811

In this paper, we present a cluster parameter based analysis of an outdoor-to-indoor (O2I) Multiple-Input-Multiple-Output (MIMO) measurement campaign carried out at 3.5 GHz in an office building. The measurement was performed using a wideband multi-antenna radio channel sounder. Besides azimuth angle of arrival (AoA), azimuth angle of departure (AoD) and delay domains included in traditional 2 dimensional (2D) MIMO channels, 3 dimensional (3D) MIMO channels also consider elevation angle of arrival (EoA), elevation angle of departure (EoD) when describing clusters. By introducing the elevation domain, we observe that multipath components (MPCs) within one cluster in 2D MIMO channels can be divided into several clusters in 3D MIMO channels and each cluster has MPCs with smaller power weighed multipath component distance (MCD). We also analyze the effect of height difference between the transmitting and receiving ends on the clustering performance. There is a tendency that clusters show smaller parameter values when the height difference is smaller. After that, we describe all the cluster parameters by a set of probability density functions (pdfs) and give typical values in this scenario.

关键词： MIMO communication broadband antennas direction-of-arrival estimation probability wireless channels azimuth angle of arrival azimuth angle of departure cluster characteristics delay domains elevation angle of arrival elevation angle of departure frequency 3.5 GHz multipath component distance office building outdoor-to-indoor scenario at 3.5 GHz probability density functions wideband 3D MIMO channels wideband multiantenna radio channel sounder Antenna measurements Azimuth Channel models Delays MIMO Three-dimensional displays Wireless communication

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Fault tolerant control for non-Gaussian stochastic systems using RBF neural networks approximation model

Fault tolerant control for non-Gaussian stochastic systems u...

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UKACC International Conference on Control 2010

作者： Z. Skaf A. H. Al-Bayati H. Wang Control Systems Center University of Manchester Manchester UK

ISBN: (纸本)9781627481199

In this paper, a new fault tolerant controller (FTC) algorithm for general stochastic nonlinear systems is studied. Different from the existing FTC methods, the measured information is the probability density functions (PDFs) of the system output rather than its value, where the radial basis functions (RBFs) neural network technique is proposed so that the output PDFs can be formulated in terms of the dynamic weighings, so that the problem is transformed into a nonlinear FTC problem subject to the weight dynamical systems. The main objective of FTC requires detecting the occurrence of faults and maintaining the performance of the system in the presence of faults at a satisfying level. The FTC design consists of two steps. The first step is fault detection and diagnosis (FDD), which can produce an alarm when there is a fault in the system and also locate which component has a fault. The second step is to adapt the controller to the faulty case so that the system is able to achieve its target. A linear matrix inequality (LMI) based feasible FTC method is applied such that the fault can be detected and diagnosed. An illustrated example is included to demonstrate the use of control algorithm, and satisfactory results have been obtained.

关键词： probability density functions Nonlinear stochastic systems Fault tolerant control Coviracil faults fault-tolerant control output(systems) Neural network Controllers Computer algorithms stochastic systems Alarm

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ATMOSPHERIC INFRASONIC-PRESSURE VARIATIONS

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JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 1964年第10期36卷 1990-&页

作者： RICHIE, WC HIXSON, EL Defense Research Laboratory The University of Texas Austin Texas 78712

The pressure variations of the atmosphere at White Sands Missile Range, New Mexico, were recorded, using a solion infrasoniCmicrophone array. The dimensions of the square array were 10 000 ft per side. The solion infrasonicmicrophone monitored data in the pressure range of 0.1–500 dyn/cm2 and in the frequency region of 0.033–50 cps. Measurements were made during high winds (20–30 kt) and very low winds (0–2 kt). The statistical nature of the infrasonic atmospheric‐pressure data obtained is presented by the use of probability density functions, autocorrelation functions, crosscorrelation functions, power spectra, and crosspower spectra. [This work sponsored by the U. S. Army Electronics Research and Development Activity, White Sands Missile Range, N. M., under contract DA 36‐039 SC‐90719.]

关键词： Infrasound Microphones Missiles Atmospheric pressure probability density functions

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