Interactive System Identification: Prospects and Pitfalls, Torsten Bohlin
Автор: Tohru Katayama Название: Subspace Methods for System Identification ISBN: 1849969884 ISBN-13(EAN): 9781849969888 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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;
Автор: Tokunbo Ogunfunmi Название: Adaptive Nonlinear System Identification ISBN: 1441938834 ISBN-13(EAN): 9781441938831 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: Dedicated to the pioneering Prof. Peter Young, this volume features cutting-edge research in systems and control subjects he has covered in 45 years of research, including system identification, time-series analysis, environmetric modelling and system design.
Автор: Oliver Nelles Название: Nonlinear System Identification ISBN: 3642086748 ISBN-13(EAN): 9783642086748 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: M. Milanese; J. Norton; H. Piet-Lahanier; ?. Walte Название: Bounding Approaches to System Identification ISBN: 0306450216 ISBN-13(EAN): 9780306450211 Издательство: Springer Рейтинг: Цена: 36197.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describes advances in techniques and applications of bounding of the parameters, or state variables, of uncertain dynamical systems. This title explores the application of the bounding approach as an alternative to the probabilistic analysis of such systems, relating its importance to robust control-system design.
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