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PARAMETRIC IDENTIFICATION OF FREQUENCY DOMAIN SYSTEMS USING ORTHONORMAL RATIONAL BASES

IFAC Proceedings Volumes 2006年第1期39卷 837-842页

作者： Dirk Deschrijver Tom Dhaene Dept. Math. and Comp. Sc University of Antwerp

This paper presents a new robust algorithm for the identification of linear time-invariant systems in the frequency domain. The method is computationally very efficient, and accurately synthesises transfer functions which require a large amount of poles. Some numerical difficulties are avoided by combining the use of a Sanathanan-Koerner iteration and orthonormal rational functions.

关键词： Identification algorithms Parameter estimation Continuous-time systems estimation algorithms Frequency Responses

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NONLINEAR FILTERING TOOLBOX FOR CONTINUOUS STOCHASTIC SYSTEMS WITH DISCRETE MEASUREMENTS

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IFAC Proceedings Volumes 2006年第6期39卷 422-427页

作者： Jaroslav Ŝvácha Miroslav Ŝimandl Ondrej Straka Miroslav Flídr Cybernetics Research Centre Data Algorithms and Decision Making University of West Bohemia in Pilsen Univerzitní 8 306 14 Plzen Czech Republic

The paper deals with a problem of state estimation for nonlinear continuous stochastic systems with discrete-time measurements. A general recursive solution of the estimation problem given by the Bayesian rule and by the Fokker-Planck equation is described. Local estimation methods employing analytical approach to solution and global estimation methods employing analytical, numerical and simulation approaches are discussed. A software package for state estimation of continuous stochastic systems with discrete-time measurements is developed and described. It serves for system design, system simulation, estimator setup and state estimation. The package is designed to embody easily user defined estimators and thus it is suitable for estimator testing and quality comparison of different estimators. Usage of the nonlinear filtering software package is illustrated in a numerical example.

关键词： stochastic systems state estimation nonlinear filters continuous time systems estimation algorithms software tools

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An algorithm based on discrete response regression models suitable to correct the bias of non-response in surveys with several capture tries

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2005年第2期162卷 387-402页

作者： Anido, C Rivero, C Valdés, T Univ Complutense Madrid Fac CC Math Dept Estadist & Invest Operat E-28040 Madrid Spain Univ Autonoma Madrid Fac CC Econ & Empresariales Dept Anal Econ E-28049 Madrid Spain

The use of survey plans, which contemplate several tries or call-backs when endeavouring to capture individual data, may supply unarguable information in certain sampling situations with non-ignorable non-response. This paper presents an algorithm whose final aim is the estimation of the individual non-response probabilities from a general perspective of discrete response regression models, which includes the well known probit and logit models. It will be assumed that the respondents supply all the variables of interest when they are captured. Nevertheless, the call-backs continue. even after previous captures, for a small number of tries, r, which has been fixed beforehand only for estimating purposes. The different retries or call-backs are supposed to be carried out with different capture intensities. As mentioned above. the response probabilities, which may vary from one individual to another, are sought by discrete response regression models, whose parameters are estimated from conditioned likelihoods evaluated on the respondents only. The algorithm, quick and easy to implement, may be used even when the capture indicator matrix has been partially recorded. Finally, the practical performance of the proposed procedure is tested and evaluated from empirical simulations whose results are undoubtedly encouraging. (C) 2003 Elsevier B.V. All rights reserved.

关键词： multivariate statistics estimation algorithms discrete response models non-ignorable non-response conditional likelihood

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Sensorless oil drowned pump drive

Sensorless oil drowned pump drive

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IEEE International Symposium on Industrial Electronics

作者： Ryvkin, S Izosimov, D Sarychev, A Raskin, L Aksarin, D Vidumkin, E Cernat, M Inst Control Sci Lab Adapt Control Dynam Objects Moscow Russia

ISBN: (纸本)0780387384

This work presents the digitally controlled sensorless drive applied to a drowned pump. The developed drive provides the high function quality and high reliability. The drive architecture from the reliability viewpoint is described and analyzed. The new control and estimation algorithms that have been used are briefly presented. The construction of the used voltage source inverter and control is examined. The results of the drive simulation, confirming high dynamic accuracy and in addition simplification of the digital control and reduction of the required controller computing capacity are presented.

关键词： digital control electric machine analysis computing invertors machine control motor drives pumps reliability controller computing capacity estimation algorithms sensorless drive digital control sensorless oil drowned pump drive voltage source inverter voltage source inverter Inventors MACHINE TOOL CONTROL Pumps motor drives Numerical controls Drowning Sensors Automobile driving DRIVES

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POSITION estimation AND MODELING OF A FLEXIBLE INDUSTRIAL ROBOT

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IFAC Proceedings Volumes 2005年第1期38卷 253-258页

作者： R. Karlsson M. Norrlöf Dept. of Electrical Engineering Linköping University

A sensor fusion technique is presented and it is shown to achieve good estimates of the position for a 3 degrees-of-freedom industrial robot model. By using an accelerometer the estimate of the tool position accuracy can be improved. The computation of the position is formulated as a Bayesian estimation problem and two solutions are proposed. One using the extended Kalman filter and one using the particle filter. Since the aim is to use the positions estimates to improve trajectory tracking with an iterative learning control method, no computational constraints arise. In an extensive simulation study the performance is compared to the Cramer-Rao lower bound. A significant improvement in position accuracy is achieved using the sensor fusion technique.

关键词： Industrial robots estimation extended Kalman filters estimation algorithms

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STATIC AND DYNAMIC ATTITUDE DECOMPOSITION FOR estimation WITH MAGNETOMETER SENSOR

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IFAC Proceedings Volumes 2005年第1期38卷 168-173页

作者： Sebastien Changey Dominique Beauvois Volker Fleck Ecole Superieure d'Electricite Service Automatique 3 rue Joliot Curie 91192 Gif sur Yvette cedex France Institut Franco-Allemand de recherches de Saint-Louis 5 rue du General Cassagnou 68300 Saint-Louis France

A priori information given by the complete modelling of the ballistic behavior of a projectile is simplified to give a pertinent reduced evolution model. This model is composed of quasi-static and dynamic models. An extended Kalman filter is designed to estimate dynamic part of the 3 attitude angles (roll in [0, 2π], angle of attack and side-slip in the range of few milliradians) from measures of the magnetic field of the earth given by a three-axis magnetometer sensor embedded on the projectile. The algorithm has been tested in simulation, using realistic evolution of attitude data with measurement noise.

关键词： Kalman filters Attitude Magnetic fields Models estimation algorithms Nonlinear filters

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NUMERICAL SOLUTION OF FILTERING PROBLEM WITH MULTIMODAL DENSITIES

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IFAC Proceedings Volumes 2005年第1期38卷 242-247页

作者： Jakub Královec Miroslav Ŝimandl Department of Cybernetics and Center for Research of Cybernetic Systems University of West Bohemia in Pilsen Univerzitní 8 306 14 Pilsen Czech Republic

Numerical solution of filtering problem for nonlinear stochastic systems is treated. The aim is to improve the point-mass method for multimodal probability density functions of state. The main innovation items concern grid update, namely covering a nonnegligible probability density function support and merging grids in multigrid design. Comparing to the standard point-mass algorithm, the new boundary-based grid placement technique maintains estimation quality and the merging technique decreases computational demands for multimodal densities.

关键词： stochastic systems state estimation nonlinear filters probability density function estimation algorithms

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Parameter estimation of fuzzy controller and its application to inverted pendulum

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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2004年第1期17卷 37-60页

作者： Oh, SK Pedrycz, W Rho, SB Ahn, TC Univ Alberta Dept Elect & Comp Engn Edmonton AB T6G 2G6 Canada Polish Acad Sci Syst Res Inst PL-01447 Warsaw Poland Wonkwang Univ Sch Elect & Elect Engn Iksan 570749 Chon Buk South Korea

In this paper, a new approach to estimate scaling factors of the fuzzy PID controller is presented. The performance of the fuzzy PID controller is sensitive to the variety of scaling factors. The design procedure dwells on the use of evolutionary computing (more specifically, a genetic algorithm) and estimation algorithm. The tuning of the scaling factors of the fuzzy PID controller is essential to the entire optimization process. And then we estimate scaling factors of the fuzzy PID controller by means of three types of estimation algorithms such as HCM (Hard C-Means) clustering-based regression polynomial, neuro-fuzzy networks, and regression polynomials. Numerical studies are presented in detail along with a detailed comparative analysis. (C) 2004 Elsevier Ltd. All rights reserved.

关键词： fuzzy PID/PD controller estimation algorithms HCM (Hard C-Means) HCM clustering based regression polynomial neuro-fuzzy networks (NFN) model

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Efficient tree structured motion estimation using successive elimination

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IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING 2004年第5期151卷 369-377页

作者： Yang, M Cui, H Tang, K Tsinghua Univ Dept Elect Engn State Key Lab Microwave & Digital Commun Beijing 100084 Peoples R China

In H.264/AVC, tree structured motion estimation enhances the coding efficiency significantly while dramatically increasing the computational complexity of block matching. In the paper, a successive elimination algorithm (SEA) is implemented in tree structured motion estimation with a simple and effective method to determine the initial motion vector, which exploits the strong correlation among the partially overlapped variable-size blocks. With identical performance to a full search algorithm, computations. for block matching can be reduced to 1%-20%. Further, the SEA can be improved by incorporating two early termination conditions, then named 'Quick SEA'. Finally, a novel fast motion estimation algorithm, successive elimination diamond search (SEDS), is proposed by efficiently integrating the Quick SEA and a modified diamond search pattern. Simulation results show that the proposed Quick SEA can reduce the computational complexity of block matching by 3-5 times compared to the basic SEA. SEDS further reduces by about one-half the computations of Quick SEA. With similar rate distortion performance, 0.2%-1% block matching distortion is calculated for SEDS with corresponding speed-up factors of 100 to 500 in comparison with the full search algorithm.

关键词： .reference frame motion vectors reduce the number unimodal estimation algorithms block motion successive elimination HEXBS candidate points minimum point Fast motion estimation block matching distortion

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A review of algorithms and trends in kinetic model identification for chemical and biochemical systems

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CHEMICAL AND BIOCHEMICAL ENGINEERING QUARTERLY 2004年第3期18卷 195-222页

作者： Maria, G Univ Politehn Bucuresti Lab Chem & Biochem React Engn Bucharest Romania

Simulation of complex (bio)chemical reactions plays an important role in a process kinetics characterisation. However, detailed kinetic modelling is a difficult task because the model has to reflect the process complexity under variate operating conditions, starting from a limited number of observed variables, (non-)conventional data recorded with a limited sampling frequency, and often with a low reproducibility. Extensive investigations can lead to structured models of complexity depending on the utilisation scope. To overcome weak results, the identification problem must be well formulated, data consistent, numerical estimation appropriate and effective, and the estimate quality analysis adequate. While statistical estimation theory has been extensively developed in terms of objective function choice and solution analysis, numerical algorithm application to (bio)chemical kinetic systems presents particularities and difficulties. The present paper aims to review the main steps and trends in solving the kinetic model identification problem. Rules for a suitable problem formulation vs. modelling objectives, advanced numerical algorithms for obtaining a reliable solution, and an estimate of suitable analysis are shortly summarised.

关键词： (bio)chemical kinetic model identification estimation algorithms

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