Identificacion Principal del registro INGC-EBK-000518

Control Number Identifier AR-LpUFI

LAST MODIFICATION DATE 20160908090440

CONTROL FIELD cr nn 008mamaa

CONTROL FIELD 140422s2014 gw | s |||| 0|eng d

a International Standard Book Number 9783319063645

a Standard number or code 10.1007/978-3-319-06364-5

a Personal name Boutalis, Yiannis.

a Title System Identification and Adaptive Control

h Medium [libro electrónico] : ;

b Remainder of title Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models /

c Statement of responsibility, etc by Yiannis Boutalis...[et al.].

a Place of publication, distribution, etc Cham :

b Name of publisher, distributor, etc Springer International Publishing :

b Name of publisher, distributor, etc Imprint: Springer,

c Date of publication, distribution, etc 2014.

a Extent xii, 313 p. :

b Other physical details il.

a Series statement Advances in Industrial Control,

x International Standard Serial Number 1430-9491

a Formatted contents note 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.

a Summary, etc 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 â_oconceptsâ__ 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: â_¢Â Â Â Â Â Â Â Â Â Â Â Â  contemporary power generation; â_¢Â Â Â Â Â Â Â Â Â Â Â Â  process control; and â_¢Â Â Â Â Â Â Â Â Â Â Â Â  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. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

a Topical term or geographic name as entry element Engineering.

a Topical term or geographic name as entry element Computational intelligence.

a Topical term or geographic name as entry element Control engineering.

a Topical term or geographic name as entry element Industrial engineering.

a Topical term or geographic name as entry element Production engineering.

a Topical term or geographic name as entry element Control.

a Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).

a Personal name Theodoridis, Dimitrios.

a Personal name Kottas, Theodore.

a Personal name Christodoulou, Manolis A.

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-3-319-06364-5

c item type EBK

a descripción COM