INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9783319021348
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
IR
Number
EN-57511
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
COUNTRY OF PUBLICATION OR PRODUCTlON
Country of publication
IR
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Intelligent control
General Material Designation
[Book]
Other Title Information
:a hybrid approach based on fuzzy logic, neural networks and genetic algorithms
First Statement of Responsibility
/ Nazmul Siddique
Subsequent Statement of Responsibility
; foreword by Bernard Widrow
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham
Name of Publisher, Distributor, etc.
: Springer,
Date of Publication, Distribution, etc.
, 2014.
SERIES
Series Title
(Studies in computational intelligence
Volume Designation
; v.517)
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Electronic
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index..
CONTENTS NOTE
Text of Note
Summary: Intelligent Control considers non-traditional modelling and control approaches to nonlinear systems. Fuzzy logic, neural networks and evolutionary computing techniques are the main tools used. The book presents a modular switching fuzzy logic controller where a PD-type fuzzy controller is executed first followed by a PI-type fuzzy controller thus improving the performance of the controller compared with a PID-type fuzzy controller. The advantage of the switching-type fuzzy controller is that it uses one rule-base thus minimises the rule-base during execution. A single rule-base is developed by merging the membership functions for change of error of the PD-type controller and sum of error of the PI-type controller. Membership functions are then optimized using evolutionary algorithms. Since the two fuzzy controllers were executed in series, necessary further tuning of the differential and integral scaling factors of the controller is then performed. Neural-network-based tuning for the scaling parameters of the fuzzy controller is then described and finally an evolutionary algorithm is applied to the neurally-tuned-fuzzy controller in which the sigmoidal function shape of the neural network is determined. The important issue of stability is addressed and the text demonstrates empirically that the developed controller was stable within the operating range. The text concludes with ideas for future research to show the reader the potential for further study in this area. Intelligent Control will be of interest to researchers from engineering and computer science backgrounds working in the intelligent and adaptive control.
Text of Note
Dynamical Systems -- Control Systems -- Mathematics of Fuzzy Control -- Fuzzy Control -- GA-Fuzzy Control -- Neuro-Fuzzy Control -- GA-Neuro-Fuzzy Control -- Stability Analysis -- Epilogue and Future Work.
SERIES
Title
Studies in computational intelligence
Volume Number
v.517
TOPICAL NAME USED AS SUBJECT
Engineering
Control
Systems Theory, Control
Simulation and Modeling
Intelligent control systems
Fuzzy logic
Neural networks (Computer science)
Genetic algorithms
LIBRARY OF CONGRESS CLASSIFICATION
Class number
E-BOOK
PERSONAL NAME - SECONDARY RESPONSIBILITY
Siddique, N. H
ORIGINATING SOURCE
Country
ایران
ELECTRONIC LOCATION AND ACCESS
Host name
9783319021348.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
9783319021348.pdf
Electronic Format Type
متن
old catalog
e
BL
1
a
Y
