System Identification and Adaptive Control (eBook)
XII, 313 Seiten
Springer International Publishing (Verlag)
978-3-319-06364-5 (ISBN)
Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of 'concepts' and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in:
• contemporary power generation;
• process control and
• conventional benchmarking problems.
Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.
The authors works intensively in the field of intelligent control and its applications. Two of them (Boutalis and Christodoulou) are professors with long research experience and the other two are relevantly young researchers with a significant number of publications in the area of intelligent control.
The authors works intensively in the field of intelligent control and its applications. Two of them (Boutalis and Christodoulou) are professors with long research experience and the other two are relevantly young researchers with a significant number of publications in the area of intelligent control.
Part I The Recurrent Neurofuzzy Model.- Introduction and Scope.- Identification of Dynamical Systems Using Recurrent Neurofuzzy Modeling.- Indirect Adaptive Control Based on the Recurrent Neurofuzzy Model.- Direct Adaptive Neurofuzzy Control of SISO Systems.- Direct Adaptive Neurofuzzy Control of MIMO Systems.- Selected Applications.- Part II The Fuzzy Cognitive Network Model: Introduction and Outline.- Existence and Uniqueness of Solutions in FCN.- Adaptive Estimation Algorithms of FCN Parameters.- Framework of Operation and Selected Applications.
Erscheint lt. Verlag | 23.4.2014 |
---|---|
Reihe/Serie | Advances in Industrial Control |
Zusatzinfo | XII, 313 p. 120 illus., 56 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Mathematik / Informatik ► Mathematik | |
Technik ► Bauwesen | |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Adaptive Control • adaptive estimation • Fuzzy cognitive maps • Fuzzy Cognitive Networks • Neurofuzzy Models |
ISBN-10 | 3-319-06364-2 / 3319063642 |
ISBN-13 | 978-3-319-06364-5 / 9783319063645 |
Haben Sie eine Frage zum Produkt? |
Größe: 8,4 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Zusätzliches Feature: Online Lesen
Dieses eBook können Sie zusätzlich zum Download auch online im Webbrowser lesen.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich