Nonlinear Estimation

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Publisher : Springer Science & Business Media
ISBN 13 : 1461234123
Total Pages : 198 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Nonlinear Estimation by : Gavin J.S. Ross

Download or read book Nonlinear Estimation written by Gavin J.S. Ross and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-Linear Estimation is a handbook for the practical statistician or modeller interested in fitting and interpreting non-linear models with the aid of a computer. A major theme of the book is the use of 'stable parameter systems'; these provide rapid convergence of optimization algorithms, more reliable dispersion matrices and confidence regions for parameters, and easier comparison of rival models. The book provides insights into why some models are difficult to fit, how to combine fits over different data sets, how to improve data collection to reduce prediction variance, and how to program particular models to handle a full range of data sets. The book combines an algebraic, a geometric and a computational approach, and is illustrated with practical examples. A final chapter shows how this approach is implemented in the author's Maximum Likelihood Program, MLP.

Nonlinear Parameter Estimation

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Publisher :
ISBN 13 :
Total Pages : 356 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Nonlinear Parameter Estimation by : Yonathan Bard

Download or read book Nonlinear Parameter Estimation written by Yonathan Bard and published by . This book was released on 1974 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Problem formulation; Estimators and their properties; Methods of estimation; Computation of estimates; Interpretation of the estimates; Dynamic models; Some special problems; Design of experiments.

Parameter Estimation and Inverse Problems

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Publisher : Elsevier
ISBN 13 : 0128134232
Total Pages : 406 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Parameter Estimation and Inverse Problems by : Richard C. Aster

Download or read book Parameter Estimation and Inverse Problems written by Richard C. Aster and published by Elsevier. This book was released on 2018-10-16 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parameter Estimation and Inverse Problems, Third Edition, is structured around a course at New Mexico Tech and is designed to be accessible to typical graduate students in the physical sciences who do not have an extensive mathematical background. The book is complemented by a companion website that includes MATLAB codes that correspond to examples that are illustrated with simple, easy to follow problems that illuminate the details of particular numerical methods. Updates to the new edition include more discussions of Laplacian smoothing, an expansion of basis function exercises, the addition of stochastic descent, an improved presentation of Fourier methods and exercises, and more. Features examples that are illustrated with simple, easy to follow problems that illuminate the details of a particular numerical method Includes an online instructor’s guide that helps professors teach and customize exercises and select homework problems Covers updated information on adjoint methods that are presented in an accessible manner

Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking

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Publisher : Wiley-IEEE Press
ISBN 13 : 9780470120958
Total Pages : 951 pages
Book Rating : 4.1/5 (29 download)

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Book Synopsis Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking by : Harry L. Van Trees

Download or read book Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking written by Harry L. Van Trees and published by Wiley-IEEE Press. This book was released on 2007-08-31 with total page 951 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive development of Bayesian Bounds for parameter estimation and nonlinear filtering/tracking Bayesian estimation plays a central role in many signal processing problems encountered in radar, sonar, communications, seismology, and medical diagnosis. There are often highly nonlinear problems for which analytic evaluation of the exact performance is intractable. A widely used technique is to find bounds on the performance of any estimator and compare the performance of various estimators to these bounds. This book provides a comprehensive overview of the state of the art in Bayesian Bounds. It addresses two related problems: the estimation of multiple parameters based on noisy measurements and the estimation of random processes, either continuous or discrete, based on noisy measurements. An extensive introductory chapter provides an overview of Bayesian estimation and the interrelationship and applicability of the various Bayesian Bounds for both static parameters and random processes. It provides the context for the collection of papers that are included. This book will serve as a comprehensive reference for engineers and statisticians interested in both theory and application. It is also suitable as a text for a graduate seminar or as a supplementary reference for an estimation theory course.

Nonlinear Parameter Estimation

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ISBN 13 : 9780887690099
Total Pages : 592 pages
Book Rating : 4.6/5 (9 download)

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Book Synopsis Nonlinear Parameter Estimation by : John C. Nash

Download or read book Nonlinear Parameter Estimation written by John C. Nash and published by . This book was released on 1995 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nonlinear Parameter Optimization Using R Tools

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Publisher : John Wiley & Sons
ISBN 13 : 1118883969
Total Pages : 304 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Nonlinear Parameter Optimization Using R Tools by : John C. Nash

Download or read book Nonlinear Parameter Optimization Using R Tools written by John C. Nash and published by John Wiley & Sons. This book was released on 2014-04-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Parameter Optimization Using R John C. Nash, Telfer School of Management, University of Ottawa, Canada A systematic and comprehensive treatment of optimization software using R In recent decades, optimization techniques have been streamlined by computational and artificial intelligence methods to analyze more variables, especially under non–linear, multivariable conditions, more quickly than ever before. Optimization is an important tool for decision science and for the analysis of physical systems used in engineering. Nonlinear Parameter Optimization with R explores the principal tools available in R for function minimization, optimization, and nonlinear parameter determination and features numerous examples throughout. Nonlinear Parameter Optimization with R: Provides a comprehensive treatment of optimization techniques Examines optimization problems that arise in statistics and how to solve them using R Enables researchers and practitioners to solve parameter determination problems Presents traditional methods as well as recent developments in R Is supported by an accompanying website featuring R code, examples and datasets Researchers and practitioners who have to solve parameter determination problems who are users of R but are novices in the field optimization or function minimization will benefit from this book. It will also be useful for scientists building and estimating nonlinear models in various fields such as hydrology, sports forecasting, ecology, chemical engineering, pharmaco-kinetics, agriculture, economics and statistics.

Handbook of Nonlinear Regression Models

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Publisher :
ISBN 13 :
Total Pages : 272 pages
Book Rating : 4.3/5 (97 download)

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Book Synopsis Handbook of Nonlinear Regression Models by : David A. Ratkowsky

Download or read book Handbook of Nonlinear Regression Models written by David A. Ratkowsky and published by . This book was released on 1990 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The background; An introduction to regression modeling; Nonlinear regression modeling; An illustrative example of regression modeling; The models; Models with one X variable, convex/concave curves; Models with one X variable, sigmoidally shaped curves; Models with one X variable, curves with maxima and minima; Models with more than one explanatory viariable; Other models and excluded models; Obtaining good initial parameter estimates; Summary; References; Table of symbols; Appendix; Author index; Subject index.

Parameter Identification and Inverse Problems in Hydrology, Geology and Ecology

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Publisher : Springer Science & Business Media
ISBN 13 : 940091704X
Total Pages : 307 pages
Book Rating : 4.4/5 (9 download)

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Book Synopsis Parameter Identification and Inverse Problems in Hydrology, Geology and Ecology by : Johannes Gottlieb

Download or read book Parameter Identification and Inverse Problems in Hydrology, Geology and Ecology written by Johannes Gottlieb and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Workshop on Parameter Identification and Inverse Problems in Hydrology, Geology and Ecology, Karlsruhe, April 10-12, 1995, was organized to bring to gether an interdisciplinary group drawn from the areas of science, engineering and mathematics for the following purposes: - to promote, encourage and influence more understanding and cooperation in the community of parameter identifiers from various disciplines, - to forge unity in diversity by bringing together a variety of disciplines that attempt to understand the reconstruction of inner model parameters, un known nonlinear constitutive relations, heterogeneous structures inside of geological objects, sources or sinks from observational data, - to discuss modern regularization tools for handling improperly posed pro blems and strategies of incorporating a priori knowledge from the applied problem into the model and its treatment. These proceedings contain some of the results of the workshop, representing a bal anced selection of contributions from the various groups of participants. The reviewed invited and contributed articles are grouped according to the broad headings of hydrology, non-linear diffusion and soil physics, geophysical methods, mathematical analysis of inverse and ill-posed problems and parallel algorithms for inverse problems. Some of the issues adressed by the articles in these proceedings include the rela tion between least squares and direct formulations of inverse problems for partial differential equations, nonlinear regularization, identification of nonlinear consti tutive relations, fast parallel algorithms for large scale inverse problems, reduction of model structures, geostatistical inversion techniques.

Parameter Estimation in Nonlinear Dynamic Systems

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Publisher :
ISBN 13 :
Total Pages : 196 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Parameter Estimation in Nonlinear Dynamic Systems by : W. J. H. Stortelder

Download or read book Parameter Estimation in Nonlinear Dynamic Systems written by W. J. H. Stortelder and published by . This book was released on 1998 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nonlinear system identification. 2. Nonlinear system structure identification

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Publisher : Springer Science & Business Media
ISBN 13 : 9780792358572
Total Pages : 428 pages
Book Rating : 4.3/5 (585 download)

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Book Synopsis Nonlinear system identification. 2. Nonlinear system structure identification by : Robert Haber

Download or read book Nonlinear system identification. 2. Nonlinear system structure identification written by Robert Haber and published by Springer Science & Business Media. This book was released on 1999 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second part of a two-volume handbook presenting a comprehensive overview of nonlinear dynamic system identification. The books include many aspects of nonlinear processes such as modelling, parameter estimation, structure search, nonlinearity and model validity tests.

Practical Methods for Optimal Control and Estimation Using Nonlinear Programming

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Publisher : SIAM
ISBN 13 : 0898716888
Total Pages : 442 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Practical Methods for Optimal Control and Estimation Using Nonlinear Programming by : John T. Betts

Download or read book Practical Methods for Optimal Control and Estimation Using Nonlinear Programming written by John T. Betts and published by SIAM. This book was released on 2010-01-01 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: A focused presentation of how sparse optimization methods can be used to solve optimal control and estimation problems.

Nonlinear Parameter Estimation and Programming

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (499 download)

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Book Synopsis Nonlinear Parameter Estimation and Programming by : Y. Bard

Download or read book Nonlinear Parameter Estimation and Programming written by Y. Bard and published by . This book was released on 1968 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

NLIN2

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ISBN 13 :
Total Pages : 90 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis NLIN2 by : Donald W. Marquardt

Download or read book NLIN2 written by Donald W. Marquardt and published by . This book was released on 1983 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nonlinear Parameter Estimation with Wavelets

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Publisher :
ISBN 13 :
Total Pages : 45 pages
Book Rating : 4.:/5 (863 download)

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Book Synopsis Nonlinear Parameter Estimation with Wavelets by : Matthew Rose

Download or read book Nonlinear Parameter Estimation with Wavelets written by Matthew Rose and published by . This book was released on 1993 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nonlinear Regression Analysis and Its Applications

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Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 398 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Nonlinear Regression Analysis and Its Applications by : Douglas M. Bates

Download or read book Nonlinear Regression Analysis and Its Applications written by Douglas M. Bates and published by Wiley-Interscience. This book was released on 2007-04-23 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a presentation of the theoretical, practical, and computational aspects of nonlinear regression. There is background material on linear regression, including a geometrical development for linear and nonlinear least squares.

Nonlinear system identification. 1. Nonlinear system parameter identification

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Publisher : Springer Science & Business Media
ISBN 13 : 9780792358565
Total Pages : 432 pages
Book Rating : 4.3/5 (585 download)

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Book Synopsis Nonlinear system identification. 1. Nonlinear system parameter identification by : Robert Haber

Download or read book Nonlinear system identification. 1. Nonlinear system parameter identification written by Robert Haber and published by Springer Science & Business Media. This book was released on 1999 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Parameter Estimation and Adaptive Control for Nonlinear Servo Systems

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Publisher : Elsevier
ISBN 13 : 0443155755
Total Pages : 304 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Parameter Estimation and Adaptive Control for Nonlinear Servo Systems by : Shubo Wang

Download or read book Parameter Estimation and Adaptive Control for Nonlinear Servo Systems written by Shubo Wang and published by Elsevier. This book was released on 2024-02-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parameter Estimation and Adaptive Control for Nonlinear Servo Systems presents the latest advances in observer-based control design, focusing on adaptive control for nonlinear systems such as adaptive neural network control, adaptive parameter estimation, and system identification. This book offers an array of new real-world applications in the field. Written by eminent scientists in the field of control theory, this book covers the latest advances in observer-based control design. It provides fundamentals, algorithms, and it discusses key applications in the fields of power systems, robotics and mechatronics, flight and automotive systems. Presents a clear and concise introduction to the latest advances in parameter estimation and adaptive control with several concise applications for servo systems Covers a wide range of applications usually not found in similar books, such as power systems, robotics, mechatronics, aeronautics, and industrial systems Contains worked examples which make it ideal for advanced courses as well as for researchers starting to work in the field, particularly suitable for engineers wishing to enter the field quickly and efficiently