| 书目名称 | Nonlinear System Identification | | 副标题 | From Classical Appro | | 编辑 | Oliver Nelles | | 视频video | | | 概述 | Easy and intuitive understanding.Explanations and terminology from an engineering point-of-view.Only basic mathematics required.Self-contained, no other literature needed.Includes supplementary materi | | 图书封面 |  | | 描述 | 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 s | | 出版日期 | Textbook 2001 | | 关键词 | Automatisierungstechnik; Fuzzy; fuzzy system; linear optimization; model; optimization; statistics; complex | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-04323-3 | | isbn_softcover | 978-3-642-08674-8 | | isbn_ebook | 978-3-662-04323-3 | | copyright | Springer-Verlag Berlin Heidelberg 2001 |
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发表于 2025-3-21 17:51:55
