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Nonlinear System Identification, Oliver Nelles


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Цена: 15672.00р.
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Автор: Oliver Nelles
Название:  Nonlinear System Identification
ISBN: 9783642086748
Издательство: Springer
Классификация:



ISBN-10: 3642086748
Обложка/Формат: Paperback
Страницы: 786
Вес: 1.10 кг.
Дата издания: 15.12.2010
Язык: English
Размер: 234 x 156 x 41
Основная тема: Engineering
Подзаголовок: From Classical Approaches to Neural Networks and Fuzzy Models
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The goal of this book is to provide engineers and scientIsts in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. The reader will be able to apply the discussed models and methods to real problems with the necessary confidence and the awareness of potential difficulties that may arise in practice. This book is self-contained in the sense that it requires merely basic knowledge of matrix algebra, signals and systems, and statistics. Therefore, it also serves as an introduction to linear system identification and gives a practical overview on the major optimization methods used in engineering. The emphasis of this book is on an intuitive understanding of the subject and the practical application of the discussed techniques. It is not written in a theorem/proof style; rather the mathematics is kept to a minimum and the pursued ideas are illustrated by numerous figures, examples, and real-world applications. Fifteen years ago, nonlinear system identification was a field of several ad-hoc approaches, each applicable only to a very restricted class of systems. With the advent of neural networks, fuzzy models, and modern structure opti- mization techniques a much wider class of systems can be handled. Although one major characteristic of nonlinear systems is that almost every nonlinear system is unique, tools have been developed that allow the use of the same ap- proach for a broad variety of systems.


Photonics : linear and nonlinear interactions of laser light and matter

Автор: Menzel
Название: Photonics : linear and nonlinear interactions of laser light and matter
ISBN: 3540231609 ISBN-13(EAN): 9783540231608
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The definition of "photonics" has been broadened in recent years to include nonlinear and quantum optics, today usually based on laser light. This book covers the fundamental properties of photon and light beams, both experimentally and theoretically. It covers the essentials of linear interactions and most of the nonlinear interactions between light and matter in both the transparent and absorbing cases. It also provides a basic knowledge of modern lasers, as well as the principles of nonlinear optical spectroscopy. It is self-consistent and enriched by a large number of calculated illustrations, examples, and descriptive tables. Graduate students in physics and electrical engineering, as well as other sciences, will find this book a thorough introduction to the field, while for lecturers and scientists it offers a rich source of useful information and a ready-to-hand reference. About 4000 references open access to original literature.The second edition is completely revised and enlarged. 

Subspace Methods for System Identification

Автор: Tohru Katayama
Название: Subspace Methods for System Identification
ISBN: 1849969884 ISBN-13(EAN): 9781849969888
Издательство: Springer
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Цена: 23508.00 р.
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Описание: An in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results, this text is structured into three parts.Part I deals with the mathematical preliminaries: numerical linear algebra;

Adaptive Nonlinear System Identification

Автор: Tokunbo Ogunfunmi
Название: Adaptive Nonlinear System Identification
ISBN: 1441938834 ISBN-13(EAN): 9781441938831
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Focuses on System Identification applications of the adaptive methods presented. but which can also be applied to other applications of adaptive nonlinear processes. Covers recent research results in the area of adaptive nonlinear system identification from the authors and other researchers in the field.

System Identification

Автор: Pintleon, Rik
Название: System Identification
ISBN: 0780360001 ISBN-13(EAN): 9780780360006
Издательство: Wiley
Цена: 12910.00 р.
Наличие на складе: Поставка под заказ.

Описание: How does one model a linear dynamic system from noisy data? This book presents a general approach to this problem, with both practical examples and theoretical discussions that give the reader a sound understanding of the subject and of the pitfalls that may occur on the road from raw data to validated model. The emphasis is on robust methods that can be used with a minimum of user interaction. Readers in many fields of engineering will gain knowledge about:  Choice of experimental set up and experiment design  Automatic characterization of disturbing noise  Generation of a good plant model  Detection, qualification, and quantification of nonlinear distortions  Identification of continuous and discrete-time models  Improved model validation tools and, from the theoretical side about: - System identification - Interrelations between time- and frequency-domain approhes - Stochastic properties of the estimators - Stochastic analysis

Linear Parameter-Varying System Identification: New Developments And Trends

Автор: Lopes Dos Santos Paulo Et Al
Название: Linear Parameter-Varying System Identification: New Developments And Trends
ISBN: 9814355445 ISBN-13(EAN): 9789814355445
Издательство: World Scientific Publishing
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Цена: 20750.00 р.
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Описание: Reports the Linear Parameter Varying (LPV) system identification. This book contains twelve chapters, focusing on the LPV identification methods for both discrete-time and continuous-time models, using different approaches such as optimization methods for input/output LPV models Identification, set membership methods, and more.

Interactive System Identification: Prospects and Pitfalls

Автор: Torsten Bohlin
Название: Interactive System Identification: Prospects and Pitfalls
ISBN: 3642486207 ISBN-13(EAN): 9783642486203
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The craft of designing mathematical models of dynamic objects offers a large number of methods to solve subproblems in the design, typically parameter estimation, order determination, validation, model reduc- tion, analysis of identifiability, sensi tivi ty and accuracy.

System Identification and Robust Control

Автор: Steen Toffner-Clausen
Название: System Identification and Robust Control
ISBN: 1447115155 ISBN-13(EAN): 9781447115151
Издательство: Springer
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Цена: 18284.00 р.
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Описание: The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, ...


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