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A Linear Multi Stage Method For Multivariate Armax Process Identification Part Ii Effective Structure Parameter Estimation And Performance Evaluation
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Book Synopsis A LINEAR MULTI - STAGE METHOD FOR MULTIVARIATE ARMAX PROCESS IDENTIFICATION - PART II: EFFECTIVE STRUCTURE/ PARAMETER ESTIMATION AND PERFORMANCE EVALUATION by :
Download or read book A LINEAR MULTI - STAGE METHOD FOR MULTIVARIATE ARMAX PROCESS IDENTIFICATION - PART II: EFFECTIVE STRUCTURE/ PARAMETER ESTIMATION AND PERFORMANCE EVALUATION written by and published by . This book was released on 1990 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A LINEAR MULTI-STAGE METHOD FOR MULTICARIATE ARMAX PROCESS IDENTIFICATION-PART:1 THE BASIC FORMS OF THE ESTIMATOR by : S.D. FASSOIS AND /J.E. LEE
Download or read book A LINEAR MULTI-STAGE METHOD FOR MULTICARIATE ARMAX PROCESS IDENTIFICATION-PART:1 THE BASIC FORMS OF THE ESTIMATOR written by S.D. FASSOIS AND /J.E. LEE and published by . This book was released on 1990 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis LINEAR MULTI-STAGE IDENTIFICATION OF ARMAX PROCESSES WITH STOCHASTIC STRUCTURAL DYNAMICS APPLICATIONS. by : JAE-EUNG LEE
Download or read book LINEAR MULTI-STAGE IDENTIFICATION OF ARMAX PROCESSES WITH STOCHASTIC STRUCTURAL DYNAMICS APPLICATIONS. written by JAE-EUNG LEE and published by . This book was released on 1991 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: explained, and the methodology is subsequently utilized for estimated structural model analysis and reduction.
Download or read book Paper written by and published by . This book was released on 1990 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Vibration Analysis, Analytical and Computational by : Tzu Chuen Huang
Download or read book Vibration Analysis, Analytical and Computational written by Tzu Chuen Huang and published by American Society of Mechanical Engineers. This book was released on 1991 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presented at 1991 ASME Design Technical Conference. Sponsored by Design Engineering Division, ASME.
Book Synopsis Winter Annual Meeting by : American Society of Mechanical Engineers
Download or read book Winter Annual Meeting written by American Society of Mechanical Engineers and published by . This book was released on with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :A. Smith Publisher :Createspace Independent Publishing Platform ISBN 13 :9781979771122 Total Pages :320 pages Book Rating :4.7/5 (711 download)
Book Synopsis System Identification With Matlab. Linear Models Identification by : A. Smith
Download or read book System Identification With Matlab. Linear Models Identification written by A. Smith and published by Createspace Independent Publishing Platform. This book was released on 2017-11-16 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops the work with Linear Models Identification, State Space Models, Transfer Function Models, Impulse Response Models and Frequency Response Models. Linear Models Identification includes ARMAX Models and other General Polynomial Models. The most important content that this book provides are the following: - Linear Model Identification - Refine Linear Parametric Models - Refine ARMAX Model with Initial Parameter Guesses at Command Line - Refine Initial ARMAX Model at Command Line - Extracting Numerical Model - DataTransforming Between Discrete-Time and Continuous-Time Representations - Continuous-Discrete Conversion Methods - Effect of Input Intersample Behavior on Continuous-Time Models - Transforming Between Linear Model Representations - Treating Noise Channels as Measured Inputs - Concatenating Models - Merging Models - Determining Model Order and Delay - Model Structure Selection: Determining Model Order and Input Delay - Frequency Domain Identification: Estimating Models Using Frequency Domain Data - Building Structured and User-Defined Models Using System Identification Toolbox - Identifying Process Models - Estimate Process Models Using the App - Estimate Process Models at the Command Line - Building and Estimating Process Models Using System - Identification Toolbox - Process Model Structure Specification - Estimating Multiple-Input, Multi-Output Process Models - Identifying Input-Output Polynomial Models - Estimate Polynomial Models in the App - Estimate Polynomial Models at the Command Line - Polynomial Model Estimation Algorithms - Estimate Models Using ARMAX - Identifying State-Space Models - Estimate State-Space Model With Order Selection - Estimate State-Space Models in System Identification App - Estimate State-Space Models at the Command Line - Estimate State-Space Models with Free-Parameterization - Estimate State-Space Models with Canonical Parameterization - Estimate State-Space Equivalent of ARMAX and OE Models - State-Space Model Estimation Methods - Identifying Transfer Function Models - Estimate Transfer Function Models in the System Identification App - Estimate Transfer Function Models at the Command Line - Estimate Transfer Functions with Delays - Identifying Frequency-Response Models - Estimate Frequency-Response Models in the App - Estimate Frequency-Response Models at the Command Line - Selecting the Method for Computing Spectral Models - Identifying Impulse-Response Models - Estimate Impulse-Response Models Using System Identification App - Estimate Impulse-Response Models at the Command Line
Book Synopsis Identification of Vibrating Structures by : H.G. Natke
Download or read book Identification of Vibrating Structures written by H.G. Natke and published by Springer. This book was released on 2014-05-04 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Classification, Parameter Estimation and State Estimation by : Ferdinand van der Heijden
Download or read book Classification, Parameter Estimation and State Estimation written by Ferdinand van der Heijden and published by John Wiley & Sons. This book was released on 2005-06-10 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classification, Parameter Estimation and State Estimation is a practical guide for data analysts and designers of measurement systems and postgraduates students that are interested in advanced measurement systems using MATLAB. 'Prtools' is a powerful MATLAB toolbox for pattern recognition and is written and owned by one of the co-authors, B. Duin of the Delft University of Technology. After an introductory chapter, the book provides the theoretical construction for classification, estimation and state estimation. The book also deals with the skills required to bring the theoretical concepts to practical systems, and how to evaluate these systems. Together with the many examples in the chapters, the book is accompanied by a MATLAB toolbox for pattern recognition and classification. The appendix provides the necessary documentation for this toolbox as well as an overview of the most useful functions from these toolboxes. With its integrated and unified approach to classification, parameter estimation and state estimation, this book is a suitable practical supplement in existing university courses in pattern classification, optimal estimation and data analysis. Covers all contemporary main methods for classification and estimation. Integrated approach to classification, parameter estimation and state estimation Highlights the practical deployment of theoretical issues. Provides a concise and practical approach supported by MATLAB toolbox. Offers exercises at the end of each chapter and numerous worked out examples. PRtools toolbox (MATLAB) and code of worked out examples available from the internet Many examples showing implementations in MATLAB Enables students to practice their skills using a MATLAB environment
Book Synopsis Topics in Identification and Distributed Parameter Systems by : Erhard Bühler
Download or read book Topics in Identification and Distributed Parameter Systems written by Erhard Bühler and published by Springer-Verlag. This book was released on 2013-07-02 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Identification of Switching ARX Models for Hybrid Systems by : Sohail Nazari
Download or read book Identification of Switching ARX Models for Hybrid Systems written by Sohail Nazari and published by . This book was released on 2013 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation explores the development of a system identification method for Switching ARX (SARX) models for Off-line and Online applications. The switching sequence in SARX models converts the model parameter's estimation into a mix-integer optimization problem. To cope with complexity of the problem, an existing approach that provides an alternative formulation for multi-mode switching models is adopted. The Algebraic Geometric approach addresses the aforementioned problem by executing the identification procedure via two steps. The first step estimates the parameters of the linear ARX model, which is constructed through embedding all the sub-models. The second step retrieves parameters of sub-models from the estimated model obtained in the first step. Although the AG method delivers exact estimation in the deterministic situation, it suffers from a lack of accuracy in the presence of noise. This dissertation investigates the root cause of the mentioned drawback in the AG method and provides a systematic approach to deal with the measurement noise so the identification performance is improved. The proposed Stochastic Algebraic Geometric (SAG) approach reformulates the SARX parameters estimation problem into a "lifted" error-in-variable (EIV) model. Moreover, the characteristics of the proposed EIV model along with the estimation of its parameters are closely investigated. The requirements of a consistent estimation are derived through statistical analysis. In order to calculate the parameters of the sub-models improved retrieving procedures are proposed. In order to extend the application of the SAG into the online parameter estimation, a recursive version of the SAG approach is developed. To achieve this goal, a recursive algorithm for a class of EIV models is derived. Also, a parameter retrieving procedure independent of the data points is developed to determine parameters of the sub-models. To demonstrate a potential application of the proposed approach, a novel fault detection method is developed for linear switching systems. This approach is independent of estimating the sub-model's parameters. By using a residual evaluation method, the incipient changes of the sub-models' parameters can be detected and isolated. The applicability of this approach is demonstrated via simulation examples.
Download or read book Applied Mechanics Reviews written by and published by . This book was released on 1991 with total page 1380 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parameter Estimation in Complex Linear Structures by : Keith D. Hjelmstad
Download or read book Parameter Estimation in Complex Linear Structures written by Keith D. Hjelmstad and published by . This book was released on 1990 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book CAD/CAM Abstracts written by and published by . This book was released on 1992 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Note on the Specification and Estimation of Armax Systems by : D. S. Poskitt
Download or read book A Note on the Specification and Estimation of Armax Systems written by D. S. Poskitt and published by . This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper addresses the problem of identifying echelon canonical forms for a vector autoregressive moving-average model with exogenous variables using finite algorithms. For given values of the Kronecker indices, a method for estimating the structural parameters of a model using ordinary least squares calculations is presented. These procedures give rise, rather naturally, to a technique for the determination of the structural indices based on the use of conventional model selection criteria. A detailed analysis of the statistical properties of the estimation and identification procedures is given and some evidence on the practical significance of the results obtained is also provided. The conclusion briefly discusses modifications designed to improve the performance of the identification method and points to the application of the techniques to subspace algorithms.
Book Synopsis Identification and System Parameter Estimation by :
Download or read book Identification and System Parameter Estimation written by and published by . This book was released on 1989 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parameter Estimation Techniques for Nonlinear Dynamic Models with Limited Data, Process Disturbances and Modeling Errors by : Hadiseh Karimi
Download or read book Parameter Estimation Techniques for Nonlinear Dynamic Models with Limited Data, Process Disturbances and Modeling Errors written by Hadiseh Karimi and published by . This book was released on 2013 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis appropriate statistical methods to overcome two types of problems that occur during parameter estimation in chemical engineering systems are studied. The first problem is having too many parameters to estimate from limited available data, assuming that the model structure is correct, while the second problem involves estimating unmeasured disturbances, assuming that enough data are available for parameter estimation. In the first part of this thesis, a model is developed to predict rates of undesirable reactions during the finishing stage of nylon 66 production. This model has too many parameters to estimate (56 unknown parameters) and not having enough data to reliably estimating all of the parameters. Statistical techniques are used to determine that 43 of 56 parameters should be estimated. The proposed model matches the data well. In the second part of this thesis, techniques are proposed for estimating parameters in Stochastic Differential Equations (SDEs). SDEs are fundamental dynamic models that take into account process disturbances and model mismatch. Three new approximate maximum likelihood methods are developed for estimating parameters in SDE models. First, an Approximate Expectation Maximization (AEM) algorithm is developed for estimating model parameters and process disturbance intensities when measurement noise variance is known. Then, a Fully-Laplace Approximation Expectation Maximization (FLAEM) algorithm is proposed for simultaneous estimation of model parameters, process disturbance intensities and measurement noise variances in nonlinear SDEs. Finally, a Laplace Approximation Maximum Likelihood Estimation (LAMLE) algorithm is developed for estimating measurement noise variances along with model parameters and disturbance intensities in nonlinear SDEs. The effectiveness of the proposed algorithms is compared with a maximum-likelihood based method. For the CSTR examples studied, the proposed algorithms provide more accurate estimates for the parameters. Additionally, it is shown that the performance of LAMLE is superior to the performance of FLAEM. SDE models and associated parameter estimates obtained using the proposed techniques will help engineers who implement on-line state estimation and process monitoring schemes.
