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Recursive Nonlinear Estimation

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Recursive Nonlinear Estimation

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Author : Rudolf Kulhavý
language : en
Publisher: Springer
Release Date : 1996-06-25

Recursive Nonlinear Estimation written by Rudolf Kulhavý and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-06-25 with Mathematics categories.

In a close analogy to matching data in Euclidean space, this monograph views parameter estimation as matching of the empirical distribution of data with a model-based distribution. Using an appealing Pythagorean-like geometry of the empirical and model distributions, the book brings a new solution to the problem of recursive estimation of non-Gaussian and nonlinear models which can be regarded as a specific approximation of Bayesian estimation. The cases of independent observations and controlled dynamic systems are considered in parallel; the former case giving initial insight into the latter case which is of primary interest to the control community. A number of examples illustrate the key concepts and tools used. This unique monograph follows some previous results on the Pythagorean theory of estimation in the literature (e.g., Chentsov, Csiszar and Amari) but extends the results to the case of controlled dynamic systems.

Recursive Nonlinear Estimation

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Author : Rudolph Kulhavy
language : en
Publisher: Springer
Release Date : 2014-03-12

Recursive Nonlinear Estimation written by Rudolph Kulhavy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-12 with Technology & Engineering categories.

Recursive Identification And Parameter Estimation

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Author : Han-Fu Chen
language : en
Publisher: CRC Press
Release Date : 2014-06-23

Recursive Identification And Parameter Estimation written by Han-Fu Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-23 with Computers categories.

Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation problems arising from diverse areas. Supplying a systematic description of recursive estimation methods, it provides rigorous theoretical analysis of recursive solutions to problems of stochastic systems. Presenting the material and proposed algorithms in a manner that makes it easy to understand, the book provides readers with the modeling and identification skills required for successful theoretical research and effective applications.

Recursive Nonlinear Estimation Using A Quasi Moment Approximation

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Author :
language : en
Publisher:
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Recursive Nonlinear Estimation Using A Quasi Moment Approximation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Estimation With Applications To Tracking And Navigation

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Author : Yaakov Bar-Shalom
language : en
Publisher: John Wiley & Sons
Release Date : 2004-03-22

Estimation With Applications To Tracking And Navigation written by Yaakov Bar-Shalom and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-22 with Technology & Engineering categories.

Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations. It explains state estimator design using a balanced combination of linear systems, probability, and statistics. The authors provide a review of the necessary background mathematical techniques and offer an overview of the basic concepts in estimation. They then provide detailed treatments of all the major issues in estimation with a focus on applying these techniques to real systems. Other features include: * Problems that apply theoretical material to real-world applications * In-depth coverage of the Interacting Multiple Model (IMM) estimator * Companion DynaEst(TM) software for MATLAB(TM) implementation of Kalman filters and IMM estimators * Design guidelines for tracking filters Suitable for graduate engineering students and engineers working in remote sensors and tracking, Estimation with Applications to Tracking and Navigation provides expert coverage of this important area.

Recursive Estimation And Time Series Analysis

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Author : Peter C. Young
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-08-04

Recursive Estimation And Time Series Analysis written by Peter C. Young and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-04 with Technology & Engineering categories.

This is a revised version of the 1984 book of the same name but considerably modified and enlarged to accommodate the developments in recursive estimation and time series analysis that have occurred over the last quarter century. Also over this time, the CAPTAIN Toolbox for recursive estimation and time series analysis has been developed at Lancaster, for use in the MatlabTM software environment (see Appendix G). Consequently, the present version of the book is able to exploit the many computational routines that are contained in this widely available Toolbox, as well as some of the other routines in MatlabTM and its other toolboxes. The book is an introductory one on the topic of recursive estimation and it demonstrates how this approach to estimation, in its various forms, can be an impressive aid to the modelling of stochastic, dynamic systems. It is intended for undergraduate or Masters students who wish to obtain a grounding in this subject; or for practitioners in industry who may have heard of topics dealt with in this book and, while they want to know more about them, may have been deterred by the rather esoteric nature of some books in this challenging area of study.

Neuroprosthetics Theory And Practice

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Author : Gurpreet S Dhillon
language : en
Publisher: World Scientific
Release Date : 2004-02-20

Neuroprosthetics Theory And Practice written by Gurpreet S Dhillon and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-02-20 with Medical categories.

Neuroprosthetics is an area of intense scientific and clinical interest and rapid progress. Since the introduction of the cardiac pacemaker in 1932, we have seen developments that include cochlear prostheses, techniques for bladder and bowel control, deep brain stimulation, and restoration of mobility and respiration to paralyzed individuals.The chapters in this book have been contributed by authors who are recognized internationally in their fields. The result is a comprehensive and up-to-date review that will be invaluable to graduate students, clinicians and researchers in neuroprosthetics. It is broadly divided into three sections: Section 1 provides a core of knowledge that forms a foundation for the rest of the book, and covers the basics of neuroanatomy and neurophysiology, biomaterials and biocompatibility, stimulation and recording techniques; Section 2 describes current clinical applications of neuroprosthetics; Section 3 looks at future developments in the field.

Optimal State Estimation

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Author : Dan Simon
language : en
Publisher: John Wiley & Sons
Release Date : 2006-06-19

Optimal State Estimation written by Dan Simon and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-19 with Technology & Engineering categories.

A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering. While there are other textbooks that treat state estimation, this one offers special features and a unique perspective and pedagogical approach that speed learning: * Straightforward, bottom-up approach begins with basic concepts and then builds step by step to more advanced topics for a clear understanding of state estimation * Simple examples and problems that require only paper and pen to solve lead to an intuitive understanding of how theory works in practice * MATLAB(r)-based source code that corresponds to examples in the book, available on the author's Web site, enables readers to recreate results and experiment with other simulation setups and parameters Armed with a solid foundation in the basics, readers are presented with a careful treatment of advanced topics, including unscented filtering, high order nonlinear filtering, particle filtering, constrained state estimation, reduced order filtering, robust Kalman filtering, and mixed Kalman/H? filtering. Problems at the end of each chapter include both written exercises and computer exercises. Written exercises focus on improving the reader's understanding of theory and key concepts, whereas computer exercises help readers apply theory to problems similar to ones they are likely to encounter in industry. With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a wide array of industries.

Identification And System Parameter Estimation 1982

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Author : G. A. Bekey
language : en
Publisher: Elsevier
Release Date : 2016-06-06

Identification And System Parameter Estimation 1982 written by G. A. Bekey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-06 with Technology & Engineering categories.

Identification and System Parameter Estimation 1982 covers the proceedings of the Sixth International Federation of Automatic Control (IFAC) Symposium. The book also serves as a tribute to Dr. Naum S. Rajbman. The text covers issues concerning identification and estimation, such as increasing interrelationships between identification/estimation and other aspects of system theory, including control theory, signal processing, experimental design, numerical mathematics, pattern recognition, and information theory. The book also provides coverage regarding the application and problems faced by several engineering and scientific fields that use identification and estimation, such as biological systems, traffic control, geophysics, aeronautics, robotics, economics, and power systems. Researchers from all scientific fields will find this book a great reference material, since it presents topics that concern various disciplines.

Recursive Nonlinear Estimation

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