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System Identification and Adaptive Control - Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models (Paperback, Softcover reprint of the original 1st ed. 2014) Loot Price: R3,678
Discovery Miles 36 780
System Identification and Adaptive Control - Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models...

System Identification and Adaptive Control - Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models (Paperback, Softcover reprint of the original 1st ed. 2014)

Yiannis Boutalis, Dimitrios Theodoridis, Theodore Kottas, Manolis A. Christodoulou

Series: Advances in Industrial Control

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Loot Price R3,678 Discovery Miles 36 780 | Repayment Terms: R345 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Advances in Industrial Control
Release date: September 2016
First published: 2014
Authors: Yiannis Boutalis • Dimitrios Theodoridis • Theodore Kottas • Manolis A. Christodoulou
Dimensions: 235 x 155 x 18mm (L x W x T)
Format: Paperback
Pages: 313
Edition: Softcover reprint of the original 1st ed. 2014
ISBN-13: 978-3-319-35412-5
Categories: Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN: 3-319-35412-4
Barcode: 9783319354125

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