
Foundations of Generic Optimization
Volume 2: Applications of Fuzzy Control, Genetic Algorithms and Neural Networks
Springer (Publisher)
Published on 13. November 2010
Book
Paperback/Softback
X, 458 pages
978-90-481-7695-3 (ISBN)
Description
This is a comprehensive overview of the basics of fuzzy control, which also brings together some recent research results in soft computing, in particular fuzzy logic using genetic algorithms and neural networks.
This book offers researchers not only a solid background but also a snapshot of the current state of the art in this field.
More details
Series
Edition
Softcover reprint of hardcover 1st ed. 2008
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Illustrations
X, 458 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 26 mm
Weight
709 gr
ISBN-13
978-90-481-7695-3 (9789048176953)
DOI
10.1007/978-1-4020-6668-9
Schweitzer Classification
Other editions
Additional editions

R. Lowen | A. Verschoren
Foundations of Generic Optimization
Volume 2: Applications of Fuzzy Control, Genetic Algorithms and Neural Networks
Book
11/2007
Springer
€53.49
Shipment within 15-20 days

M. Iglesias | B. Naudts | A. Verschoren
Foundations of Generic Optimization
Volume 1: A Combinatorial Approach to Epistasis
E-Book
03/2006
1st Edition
Springer
€53.49
Available for download
Content
An Overview of Fuzzy Control Theory.- Optimal Fuzzy Management of Reservoir based on Genetic Algorithm.- Genetic Fuzzy Modeling of Supervisory Scheduling of Freight Rail Systems.- Multiobjective Evolutionary Search of Difference Equations-based Models for Understanding Chaotic Systems.- An Integrated Fuzzy Inference-based Monitoring, Diagnostic, and Prognostic System for Intelligent Control and Maintenance.- Stable Anti-Swing Control for an Overhead Crane with Velocity Estimation and Fuzzy Compensation.- Intelligent Fuzzy PID Controller.- Stability Analysis and Performance Design for Fuzzy Model-based Control Systems using a BMI-based Approach.- Two-Level Tuning of Fuzzy PID Controllers for Multivariable Process Systems.- Evaluation of Fuzzy Implications and Intuitive Criteria of GMP and GMT using MATLAB GUI.- FzController: A Development Environment for Fuzzy Controllers.- A Consistency Criterion for Optimizing Defuzzification in Fuzzy Control.- An Asymptotic Consistency Criterion for Optimizing Defuzzification in Fuzzy Control.